Job Description AECOM is seeking an experienced Data Engineer to play a key role in designing, delivering, and optimising data platforms and solutions across a wide range of projects. As a Data Engineer, you will be responsible for delivering components of the data solution lifecycle, ensuring solutions adhere to standard quality metrics (scalability, security, resilience etc) and designing data-driven data architecture that serves value and delivers insight. Your work will directly support AECOM's mission to deliver innovative and sustainable solutions to our clients. You will work closely with Data Analysts, Data Scientists, and cross-functional digital teams, supporting analytics use cases and occasionally contributing to light data-science activities such as feature engineering, exploratory analysis, or model operationalisation. Key Responsibilities Develop concepts through the solution lifecycle, ensuring scalability and optimisation whilst considering cost. Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external facing projects. Demonstrate that solutions have met client performance, quality, security, and governance expectations. Collaborate with cross-functional data teams to gather client requirements. Quality, Governance & Operational Excellence Work closely with Data Analysts and Data Scientists to support analytical projects providing support for work such as feature engineering, and big data-analysis activities. Collaborate with project managers, architects, and technical teams to ensure seamless integration of data solutions within wider digital ecosystems. Uphold data engineering best practices including code quality, testing, CI/CD, and documentation standards. Adhere to project data governance controls, including metadata management, access controls, data lineage, PII protection, and compliance with organisational and regulatory requirements. Develop monitoring and alerting strategies for data solutions, maintaining high availability, performance, and reliability. Troubleshoot complex issues across infrastructure, data solutions, and custom analytical products. Innovation, Prototyping & Continuous Improvement Continuously explore new cloud capabilities, data platforms, and modern data stack tools to drive innovation within the team. Foster a culture of knowledge-sharing, standardisation, and collaborative team practices. Qualifications Minimum requirements: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience). Professional experience designing and delivering cloud-based data engineering solutions at scale. Operating ETL/ELT pipelines and modern workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, Azure Functions) Advanced proficiency in at least one programming language commonly used in data engineering (Python preferred; Scala, Java, or C# also beneficial). Strong SQL skills and deep understanding of relational databases, non-relational stores, and data warehouse principles. Solid experience with data modelling methodologies (dimensional modelling, star/snowflake schemas, data vault, etc.). Strong grounding in analytical workflows and support for data-science activities (feature engineering, data preparation, exploratory analysis). Practical experience with CI/CD, version control (Git), testing frameworks, and DevOps practices. We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact . At AECOM, we value everyone's unique contributions and perspectives. All your information will be kept confidential according to EEO guidelines.
13/06/2026
Full time
Job Description AECOM is seeking an experienced Data Engineer to play a key role in designing, delivering, and optimising data platforms and solutions across a wide range of projects. As a Data Engineer, you will be responsible for delivering components of the data solution lifecycle, ensuring solutions adhere to standard quality metrics (scalability, security, resilience etc) and designing data-driven data architecture that serves value and delivers insight. Your work will directly support AECOM's mission to deliver innovative and sustainable solutions to our clients. You will work closely with Data Analysts, Data Scientists, and cross-functional digital teams, supporting analytics use cases and occasionally contributing to light data-science activities such as feature engineering, exploratory analysis, or model operationalisation. Key Responsibilities Develop concepts through the solution lifecycle, ensuring scalability and optimisation whilst considering cost. Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external facing projects. Demonstrate that solutions have met client performance, quality, security, and governance expectations. Collaborate with cross-functional data teams to gather client requirements. Quality, Governance & Operational Excellence Work closely with Data Analysts and Data Scientists to support analytical projects providing support for work such as feature engineering, and big data-analysis activities. Collaborate with project managers, architects, and technical teams to ensure seamless integration of data solutions within wider digital ecosystems. Uphold data engineering best practices including code quality, testing, CI/CD, and documentation standards. Adhere to project data governance controls, including metadata management, access controls, data lineage, PII protection, and compliance with organisational and regulatory requirements. Develop monitoring and alerting strategies for data solutions, maintaining high availability, performance, and reliability. Troubleshoot complex issues across infrastructure, data solutions, and custom analytical products. Innovation, Prototyping & Continuous Improvement Continuously explore new cloud capabilities, data platforms, and modern data stack tools to drive innovation within the team. Foster a culture of knowledge-sharing, standardisation, and collaborative team practices. Qualifications Minimum requirements: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience). Professional experience designing and delivering cloud-based data engineering solutions at scale. Operating ETL/ELT pipelines and modern workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, Azure Functions) Advanced proficiency in at least one programming language commonly used in data engineering (Python preferred; Scala, Java, or C# also beneficial). Strong SQL skills and deep understanding of relational databases, non-relational stores, and data warehouse principles. Solid experience with data modelling methodologies (dimensional modelling, star/snowflake schemas, data vault, etc.). Strong grounding in analytical workflows and support for data-science activities (feature engineering, data preparation, exploratory analysis). Practical experience with CI/CD, version control (Git), testing frameworks, and DevOps practices. We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact . At AECOM, we value everyone's unique contributions and perspectives. All your information will be kept confidential according to EEO guidelines.
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is a leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We're also transforming business travel with a new corporate travel solution, KAYAK for Business. As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world. We're looking for a Data Engineer with a solid foundation in building robust data pipelines and a collaborative mindset to join our Marketing Data Engineering team. If you thrive in a fast-paced environment, enjoy working cross-functionally, and are eager to embrace change (especially innovations like AI coding assistants), this could be your next adventure! In This Role You Will: Design, build, and maintain high-performance data pipelines and orchestration workflows Write clean, modular Python code to transform, parse, clean, and enrich large datasets Support stakeholders by developing dashboards and visualizations Partner closely with marketing analysts, engineers, and data scientists to define and deliver data needs Actively participate in agile ceremonies, code reviews, and planning discussions Experiment with and use AI coding tools to boost productivity and code quality Our Tech Stack Languages: Python, SQL Workflow orchestration: Airflow Query engine: Trino Data warehouse: Vertica Source control: Git AI coding tools: Cursor Please apply if you have: 6+ years of professional experience in data engineering Proficient in SQL and Python, and know how to write scalable, maintainable code Worked with AI coding tools and are excited about how they're shaping the future of development Understand modern data architecture from ingestion to transformation to delivery Built and operated Airflow pipelines (or something similar) You're comfortable estimating project scope, managing timelines, and delivering reliably Soft Skills We Value: Excellent collaborator and communicator, comfortable working with technical and non-technical peers Solution-oriented and driven by curiosity Welcome change and innovation, and you're quick to adapt your tools and practices Thrive in an international, fast-paced, and feedback-driven environment There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The base range for this United States located role is $115,000 - 130,000.00. We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus. Inclusion At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That's why we're focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here. Need any adjustments for the interview, application or on the job? No problem - just give us a heads-up. We've got you.
13/06/2026
Full time
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is a leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We're also transforming business travel with a new corporate travel solution, KAYAK for Business. As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world. We're looking for a Data Engineer with a solid foundation in building robust data pipelines and a collaborative mindset to join our Marketing Data Engineering team. If you thrive in a fast-paced environment, enjoy working cross-functionally, and are eager to embrace change (especially innovations like AI coding assistants), this could be your next adventure! In This Role You Will: Design, build, and maintain high-performance data pipelines and orchestration workflows Write clean, modular Python code to transform, parse, clean, and enrich large datasets Support stakeholders by developing dashboards and visualizations Partner closely with marketing analysts, engineers, and data scientists to define and deliver data needs Actively participate in agile ceremonies, code reviews, and planning discussions Experiment with and use AI coding tools to boost productivity and code quality Our Tech Stack Languages: Python, SQL Workflow orchestration: Airflow Query engine: Trino Data warehouse: Vertica Source control: Git AI coding tools: Cursor Please apply if you have: 6+ years of professional experience in data engineering Proficient in SQL and Python, and know how to write scalable, maintainable code Worked with AI coding tools and are excited about how they're shaping the future of development Understand modern data architecture from ingestion to transformation to delivery Built and operated Airflow pipelines (or something similar) You're comfortable estimating project scope, managing timelines, and delivering reliably Soft Skills We Value: Excellent collaborator and communicator, comfortable working with technical and non-technical peers Solution-oriented and driven by curiosity Welcome change and innovation, and you're quick to adapt your tools and practices Thrive in an international, fast-paced, and feedback-driven environment There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The base range for this United States located role is $115,000 - 130,000.00. We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus. Inclusion At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That's why we're focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here. Need any adjustments for the interview, application or on the job? No problem - just give us a heads-up. We've got you.
Tech Lead - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands on in the codebase, especially when the team is dealing with ambiguity, cross system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models. Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the 'product' is high quality data and you can 'speak the language' of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross functional projects. You can balance hands on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high stakes decision making. Bonus A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field. Experience building and maintaining analytics systems. Experience with Python, Snowflake, or PostgreSQL. Experience working on feature management systems such as feature services or features stores. An understanding of complex data systems, including event sourced data models. The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open minded, so definitely include your salary goals with your application. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year. A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse.
13/06/2026
Full time
Tech Lead - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands on in the codebase, especially when the team is dealing with ambiguity, cross system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models. Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the 'product' is high quality data and you can 'speak the language' of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross functional projects. You can balance hands on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high stakes decision making. Bonus A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field. Experience building and maintaining analytics systems. Experience with Python, Snowflake, or PostgreSQL. Experience working on feature management systems such as feature services or features stores. An understanding of complex data systems, including event sourced data models. The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open minded, so definitely include your salary goals with your application. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year. A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse.
Marketing Data Analyst / Scientist - Fintech London, Greater London £70k - £80k per year Marketing Data Analyst / Scientist (SQL) London / WFH to £80k 13 month FTC - July start Do you have expertise with analysing marketing data combined with excellent stakeholder management and communication skills? You could be progressing your career in an impactful Marketing Data Analyst at a global FinTech / CFD trading company that has been consistently voted as one of the UKs top employers. As a Marketing Data Analyst / Scientist you will analyse marketing campaign performance across digital channels to drive insights, optimise campaigns and improve marketing effectiveness, collaborating with Product Managers and cross functional teams to provide insights that make a significant commercial impact. You'll support the marketing team with segmentation and targeting strategies using data analysis, conduct thorough A / B testing to identify trends and opportunities and make statistical, data driven recommendations to improve marketing effectiveness. You'll be working with immature datasets with lots of changes and variables, experimenting and trying new things including modifying data pipelines. Location / WFH: There's a hybrid model with two days a week work from home, when you are in the office you'll be based in the City with an upbeat team environment, casual dress code and a range of facilities including roof terrace, restaurant and break out areas. About you: You have strong marketing analytics or data analysis experience for complex campaigns with A/B testing and multiple versions to understand success metrics You have advanced SQL skills and the technical ability to debug and make configuration amendments within DBT data pipelines, Airflow experience is desirable You have good business acumen and understanding of marketing metrics, KPIs and attribution models You have advanced communication, collaboration and stakeholder management skills, comfortable liaising with senior business stakeholders You have a strong understanding of mathematics, statistics and data science principles / tools You can start in July What's in it for you: As a Marketing Data Analyst / Scientist you will receive a competitive package. Please note this role is on a 13 month Fixed Term Contract basis with full benefits. Salary to £80k + Bonus Pension, Private Medical Care, Life Assurance Option to buy or sell holiday days Wellness benefits and gym subsidy Enhanced paternity leave including shared parental pay and leave Employee led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events and projects that foster an open, diverse and inclusive culture Plus a range of other perks Apply now to find out more about this Marketing Data Analyst / Scientist (SQL) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
13/06/2026
Full time
Marketing Data Analyst / Scientist - Fintech London, Greater London £70k - £80k per year Marketing Data Analyst / Scientist (SQL) London / WFH to £80k 13 month FTC - July start Do you have expertise with analysing marketing data combined with excellent stakeholder management and communication skills? You could be progressing your career in an impactful Marketing Data Analyst at a global FinTech / CFD trading company that has been consistently voted as one of the UKs top employers. As a Marketing Data Analyst / Scientist you will analyse marketing campaign performance across digital channels to drive insights, optimise campaigns and improve marketing effectiveness, collaborating with Product Managers and cross functional teams to provide insights that make a significant commercial impact. You'll support the marketing team with segmentation and targeting strategies using data analysis, conduct thorough A / B testing to identify trends and opportunities and make statistical, data driven recommendations to improve marketing effectiveness. You'll be working with immature datasets with lots of changes and variables, experimenting and trying new things including modifying data pipelines. Location / WFH: There's a hybrid model with two days a week work from home, when you are in the office you'll be based in the City with an upbeat team environment, casual dress code and a range of facilities including roof terrace, restaurant and break out areas. About you: You have strong marketing analytics or data analysis experience for complex campaigns with A/B testing and multiple versions to understand success metrics You have advanced SQL skills and the technical ability to debug and make configuration amendments within DBT data pipelines, Airflow experience is desirable You have good business acumen and understanding of marketing metrics, KPIs and attribution models You have advanced communication, collaboration and stakeholder management skills, comfortable liaising with senior business stakeholders You have a strong understanding of mathematics, statistics and data science principles / tools You can start in July What's in it for you: As a Marketing Data Analyst / Scientist you will receive a competitive package. Please note this role is on a 13 month Fixed Term Contract basis with full benefits. Salary to £80k + Bonus Pension, Private Medical Care, Life Assurance Option to buy or sell holiday days Wellness benefits and gym subsidy Enhanced paternity leave including shared parental pay and leave Employee led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events and projects that foster an open, diverse and inclusive culture Plus a range of other perks Apply now to find out more about this Marketing Data Analyst / Scientist (SQL) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
We're the feel good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK. By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other. THE ROLE The Data Engineer role supports the delivery of reliable and efficient data pipelines on the Databricks platform. Collaborate with data engineers and analysts to ensure timely access to trusted data across the business. WHAT YOU'LL BE DOING Data Engineering: Build and maintain ETL/ELT pipelines within Databricks. Monitoring: Ensure daily data pipeline runs are completed and errors resolved promptly. Documentation: Maintain clear records of data processes and transformations. Data Quality: Contribute to delivery of clean and consistent datasets. Collaboration: Support analysts and scientists in accessing the data they need. WHO YOU ARE Experience working with Databricks and Spark (2+ years). Proficient in Python and SQL for data transformation. Familiarity with data orchestration and monitoring tools. Understanding of cloud data environments and version control. Strong documentation and collaboration skills. WHATS IN IT FOR YOU 40% staff discount plus friends & family discounts throughout the year. Access to our reward platform for external discount and offers. Profit related bonus scheme. Option to join our Healthcare Private Medical Scheme. Virtual GP access for you and your children - it allows you to speak to a doctor at a time and date that suits you. All employees are covered by our life assurance policy from day one. Unlock extra leave with our buy more holiday scheme. Celebrate YOU! Enjoy an extra paid day off on your birthday each year. Enhanced maternity, paternity and adoption leave, and shared parental leave (eligible after 2 years service). Spread the cost of your commute with interest free season ticket loans. Do your bit for the environment and save money with our Cycle2Work scheme. We're proud to partner with the Retail Trust and Fashion & Textile Children's Trust. Why New Look? We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We're proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values. We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals. We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we're keen to discuss this with you in line with the output needed for the role. Job Family AEM060 - Predictive Analytics/Business Intelligence
13/06/2026
Full time
We're the feel good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK. By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other. THE ROLE The Data Engineer role supports the delivery of reliable and efficient data pipelines on the Databricks platform. Collaborate with data engineers and analysts to ensure timely access to trusted data across the business. WHAT YOU'LL BE DOING Data Engineering: Build and maintain ETL/ELT pipelines within Databricks. Monitoring: Ensure daily data pipeline runs are completed and errors resolved promptly. Documentation: Maintain clear records of data processes and transformations. Data Quality: Contribute to delivery of clean and consistent datasets. Collaboration: Support analysts and scientists in accessing the data they need. WHO YOU ARE Experience working with Databricks and Spark (2+ years). Proficient in Python and SQL for data transformation. Familiarity with data orchestration and monitoring tools. Understanding of cloud data environments and version control. Strong documentation and collaboration skills. WHATS IN IT FOR YOU 40% staff discount plus friends & family discounts throughout the year. Access to our reward platform for external discount and offers. Profit related bonus scheme. Option to join our Healthcare Private Medical Scheme. Virtual GP access for you and your children - it allows you to speak to a doctor at a time and date that suits you. All employees are covered by our life assurance policy from day one. Unlock extra leave with our buy more holiday scheme. Celebrate YOU! Enjoy an extra paid day off on your birthday each year. Enhanced maternity, paternity and adoption leave, and shared parental leave (eligible after 2 years service). Spread the cost of your commute with interest free season ticket loans. Do your bit for the environment and save money with our Cycle2Work scheme. We're proud to partner with the Retail Trust and Fashion & Textile Children's Trust. Why New Look? We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We're proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values. We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals. We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we're keen to discuss this with you in line with the output needed for the role. Job Family AEM060 - Predictive Analytics/Business Intelligence
Job Summary This is a rare opportunity to join a newly created global data modelling lead role, in a growing central data and analytics team. Your key work will be to lead the design and build of governed, reusable global data models that translate enterprise data into business ready dimensions, facts and metrics for consistent reporting, self service reporting, analytics and AI/ML readiness. You will be the bridge between the data team, IT leaders and business leaders: understanding and defining requirements, shaping data products, modelling business logic, and enabling performant, well documented accurate data delivery at a global scale. This work relates predominantly in year one to corporate services data, specifically finance and human resources. You will be the global lead in RES for data modelling and analytics engineering, educating and training regional staff, providing templates and guidance on best practice. Lead working groups with the business/IT and define comprehensive business requirements from stakeholders. From the business requirements assess buy versus build options and if a data platform build is chosen then design the data model in conjunction with IT/data teams and business domain leaders. Once signed off, build, deliver and maintain a comprehensive, scalable data model and lead implementation, optimisation, and scalability. Accountabilities Design global data models aligned to agreed business definitions, KPIs and reporting departments in conjunction with executives, business domains and senior IT leaders. Develop and maintain metric definitions and calculation logic to ensure model consistency across dashboards and reports. Build, deliver and maintain curated data modelling and products with documentation, tests, and versioning. Partner with data governance, architecture, system owners, business domains and cyber to align models to systems schemas, metadata management, business requirements, ownership, and certification/security. Optimise models for performance, quality and usability, ensuring scalable, future proof models are delivered. Collaborate with and lead work with Data Engineers/Architects on upstream transformations and data quality rules, ensuring end to end traceability, lineage and master data management. Collaborate with and lead/advise report developers and end users of the data (business/IT/data practitioners) to make effective use of the models. Support self service enablement: templates, guidance, and guardrails for analysts and report builders. Lead working groups and work with stakeholders to articulate business requirements and model development with IT and business domain leaders. Deliver complex, executive reports to educate and gain buy in and support for business requirements and global data model design. Lead programmes of work and ensure they are run effectively to time, quality standards and meeting budget requirements. Educate and train regional staff and provide templates and guidance on data modelling best practice, as the global lead for data modelling. Be able to lead and enable data modelling for AI/ML use cases by providing quality datasets and impactive data models and advise data scientists on engineering and modelling needs. Skills Strong data modelling expertise: dimensional modelling, business rules, dimensions; data patterns. Ability to define and govern metrics and model consistency across multiple products and source system integrations. SQL mastery and experience with transformation frameworks and testing/documentation practices. SQL, building Star Schema data models and ETL & DAX. Deeply skilled in BI, including semantic layers (e.g., Power BI semantic models) and performance/cost optimisation. Extensive skills in data quality, traceability and observability integrated into modelling workflows. Strong stakeholder skills to translate business requirements into robust data products. Effective communicator with strong influencing, negotiating, and relationship building skills. Ability to articulate modelling to executives. Ability to translate complex data into meaningful insight for non technical audiences. Able to work independently, manage competing priorities, and lead through change. Provide hands on technical guidance to delivery and data teams across data modelling as the global lead. High attention to detail, integrity, and commitment to ethical data use. Strong executive written documentation, planning, organisation, prioritisation and design governance, and discipline. Passionate about data and innovative to enable RES to stay ahead of and implement global best practice in modern, scalable and future proof data modelling. It is mandatory that you are highly skilled in global corporate service data modelling, including integrating multiple source systems. You must have knowledge and skills in IFS (RES's enterprise ERP system) and extensive skills in financial and human resources data. Qualifications and Experience Bachelor's degree in Data Analytics, Data Science, or a related field. Significant experience in analytics engineering, semantic modelling and BI/data modelling roles in a global setting. Evidenced high quality, significant quantifiable outcomes from delivering global human resources and finance data modelling. Providing high quality, consistent and highly maintained accurate global finance and HR views which are adopted by executives and used for ongoing decision making - with little re work and high success rate for maintenance year on year - future proof data models. Deep understanding of BI and semantic modelling patterns and how they fit into enterprise architecture, evidence through quantified outcomes of delivery. Proven delivery of reusable semantic layers that improved consistency and reduced duplicated logic across reports. Proven experience of delivering model that realises efficiency savings across global organisations through adoption of data from semantic models, reducing business domains teams manual work and efforts, enabling self service reporting across multiple systems and domains. Experience partnering with and leading Finance/HR and IT teams to define business requirements and modelling schemas and gaining sign off from senior personnel, including KPIs and reporting logic. In depth knowledge and practical implementation of compliance frameworks and global employment regulations as they relate to data modelling and analytics engineering. Knowledge and experience in employing global data standardisation frameworks for harmonising data definitions, taxonomies, and formats across regions. It is mandatory that you have proven experience in data modelling for IFS (RES's enterprise ERP system) and extensive experience in financial and human resources data, corporate services multiple system integration data architecture in a global context. Experience in AI/ML enablement and integration with data and analytics platforms. Strong communication and stakeholder engagement skills, alongside technical breadth in data modelling and analytics engineering. Extensive experience briefing executive leaders and running data and reporting programmes. Working knowledge and experience in AI/ML and automation, as they apply to data modelling, reporting and analytics. Strong executive/senior stakeholder skills to translate business requirements into robust data products. Highly effective communicator (verbal and written) with strong influencing, negotiating, and relationship building experience. Evidenced experience leading workshops and governance forums for data modelling/reporting with senior executives with high quality modelling outcomes. Provide hands on technical guidance to delivery and data teams across data modelling as the global lead. Experience as the technical modelling lead for an international organisation. At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
13/06/2026
Full time
Job Summary This is a rare opportunity to join a newly created global data modelling lead role, in a growing central data and analytics team. Your key work will be to lead the design and build of governed, reusable global data models that translate enterprise data into business ready dimensions, facts and metrics for consistent reporting, self service reporting, analytics and AI/ML readiness. You will be the bridge between the data team, IT leaders and business leaders: understanding and defining requirements, shaping data products, modelling business logic, and enabling performant, well documented accurate data delivery at a global scale. This work relates predominantly in year one to corporate services data, specifically finance and human resources. You will be the global lead in RES for data modelling and analytics engineering, educating and training regional staff, providing templates and guidance on best practice. Lead working groups with the business/IT and define comprehensive business requirements from stakeholders. From the business requirements assess buy versus build options and if a data platform build is chosen then design the data model in conjunction with IT/data teams and business domain leaders. Once signed off, build, deliver and maintain a comprehensive, scalable data model and lead implementation, optimisation, and scalability. Accountabilities Design global data models aligned to agreed business definitions, KPIs and reporting departments in conjunction with executives, business domains and senior IT leaders. Develop and maintain metric definitions and calculation logic to ensure model consistency across dashboards and reports. Build, deliver and maintain curated data modelling and products with documentation, tests, and versioning. Partner with data governance, architecture, system owners, business domains and cyber to align models to systems schemas, metadata management, business requirements, ownership, and certification/security. Optimise models for performance, quality and usability, ensuring scalable, future proof models are delivered. Collaborate with and lead work with Data Engineers/Architects on upstream transformations and data quality rules, ensuring end to end traceability, lineage and master data management. Collaborate with and lead/advise report developers and end users of the data (business/IT/data practitioners) to make effective use of the models. Support self service enablement: templates, guidance, and guardrails for analysts and report builders. Lead working groups and work with stakeholders to articulate business requirements and model development with IT and business domain leaders. Deliver complex, executive reports to educate and gain buy in and support for business requirements and global data model design. Lead programmes of work and ensure they are run effectively to time, quality standards and meeting budget requirements. Educate and train regional staff and provide templates and guidance on data modelling best practice, as the global lead for data modelling. Be able to lead and enable data modelling for AI/ML use cases by providing quality datasets and impactive data models and advise data scientists on engineering and modelling needs. Skills Strong data modelling expertise: dimensional modelling, business rules, dimensions; data patterns. Ability to define and govern metrics and model consistency across multiple products and source system integrations. SQL mastery and experience with transformation frameworks and testing/documentation practices. SQL, building Star Schema data models and ETL & DAX. Deeply skilled in BI, including semantic layers (e.g., Power BI semantic models) and performance/cost optimisation. Extensive skills in data quality, traceability and observability integrated into modelling workflows. Strong stakeholder skills to translate business requirements into robust data products. Effective communicator with strong influencing, negotiating, and relationship building skills. Ability to articulate modelling to executives. Ability to translate complex data into meaningful insight for non technical audiences. Able to work independently, manage competing priorities, and lead through change. Provide hands on technical guidance to delivery and data teams across data modelling as the global lead. High attention to detail, integrity, and commitment to ethical data use. Strong executive written documentation, planning, organisation, prioritisation and design governance, and discipline. Passionate about data and innovative to enable RES to stay ahead of and implement global best practice in modern, scalable and future proof data modelling. It is mandatory that you are highly skilled in global corporate service data modelling, including integrating multiple source systems. You must have knowledge and skills in IFS (RES's enterprise ERP system) and extensive skills in financial and human resources data. Qualifications and Experience Bachelor's degree in Data Analytics, Data Science, or a related field. Significant experience in analytics engineering, semantic modelling and BI/data modelling roles in a global setting. Evidenced high quality, significant quantifiable outcomes from delivering global human resources and finance data modelling. Providing high quality, consistent and highly maintained accurate global finance and HR views which are adopted by executives and used for ongoing decision making - with little re work and high success rate for maintenance year on year - future proof data models. Deep understanding of BI and semantic modelling patterns and how they fit into enterprise architecture, evidence through quantified outcomes of delivery. Proven delivery of reusable semantic layers that improved consistency and reduced duplicated logic across reports. Proven experience of delivering model that realises efficiency savings across global organisations through adoption of data from semantic models, reducing business domains teams manual work and efforts, enabling self service reporting across multiple systems and domains. Experience partnering with and leading Finance/HR and IT teams to define business requirements and modelling schemas and gaining sign off from senior personnel, including KPIs and reporting logic. In depth knowledge and practical implementation of compliance frameworks and global employment regulations as they relate to data modelling and analytics engineering. Knowledge and experience in employing global data standardisation frameworks for harmonising data definitions, taxonomies, and formats across regions. It is mandatory that you have proven experience in data modelling for IFS (RES's enterprise ERP system) and extensive experience in financial and human resources data, corporate services multiple system integration data architecture in a global context. Experience in AI/ML enablement and integration with data and analytics platforms. Strong communication and stakeholder engagement skills, alongside technical breadth in data modelling and analytics engineering. Extensive experience briefing executive leaders and running data and reporting programmes. Working knowledge and experience in AI/ML and automation, as they apply to data modelling, reporting and analytics. Strong executive/senior stakeholder skills to translate business requirements into robust data products. Highly effective communicator (verbal and written) with strong influencing, negotiating, and relationship building experience. Evidenced experience leading workshops and governance forums for data modelling/reporting with senior executives with high quality modelling outcomes. Provide hands on technical guidance to delivery and data teams across data modelling as the global lead. Experience as the technical modelling lead for an international organisation. At RES we celebrate difference as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
Senior Data Engineer Location: London Business Area: Marketing and Public Relations Ref #: Description & Requirements The Climate Data Utility Tech Team is actively searching for an experienced Senior Data Engineer to play a pivotal role in the design, implementation, enhancement, and maintenance of scalable data pipelines for the Net-Zero Data Public Utility. These pipelines are essential for the Utility's mission of providing open and accessible public good data through both the Climate Data Utility website and APIs. A successful candidate will face the challenge of working with data originating from a wide array of sources, each with its own formats, fields, and access protocols. Your responsibilities will encompass the full data lifecycle from the extraction of data from sources, transforming it according to source and domain specific business logic, and pushing it through the Utility's ingestion process. Additionally, you will be expected to implement data quality checks and validation procedures to ensure the accuracy and reliability of the data provided by the Utility. Responsibilities Design and develop scalable data pipelines using Python to read from APIs and structured files (Excel, Parquet). Translate domain and source specific business logic into efficient code implementations to turn source data into usable structured data for downstream applications. Implement data transformations and structuring using tools like Pandas and Pydantic to ensure data quality, consistency, and adherence to business logic requirements. Collaborate with data scientists and analysts to support data-driven decision-making. Document data engineering processes, including data lineage, data dictionaries, and system architectures. Maintain best practices through code reviews, version control, and adherence to industry standards. Deploy production quality code through CI/CD pipelines into our cloud environment. Provide mentorship and guidance to junior team members, fostering their growth and development in data engineering practices. Qualifications 7+ years of experience in data engineering or a similar role. Proficiency in Python programming. Experience with building and managing data pipelines. Knowledge of data warehousing and ETL processes. Excellent problem-solving and communication skills. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
13/06/2026
Full time
Senior Data Engineer Location: London Business Area: Marketing and Public Relations Ref #: Description & Requirements The Climate Data Utility Tech Team is actively searching for an experienced Senior Data Engineer to play a pivotal role in the design, implementation, enhancement, and maintenance of scalable data pipelines for the Net-Zero Data Public Utility. These pipelines are essential for the Utility's mission of providing open and accessible public good data through both the Climate Data Utility website and APIs. A successful candidate will face the challenge of working with data originating from a wide array of sources, each with its own formats, fields, and access protocols. Your responsibilities will encompass the full data lifecycle from the extraction of data from sources, transforming it according to source and domain specific business logic, and pushing it through the Utility's ingestion process. Additionally, you will be expected to implement data quality checks and validation procedures to ensure the accuracy and reliability of the data provided by the Utility. Responsibilities Design and develop scalable data pipelines using Python to read from APIs and structured files (Excel, Parquet). Translate domain and source specific business logic into efficient code implementations to turn source data into usable structured data for downstream applications. Implement data transformations and structuring using tools like Pandas and Pydantic to ensure data quality, consistency, and adherence to business logic requirements. Collaborate with data scientists and analysts to support data-driven decision-making. Document data engineering processes, including data lineage, data dictionaries, and system architectures. Maintain best practices through code reviews, version control, and adherence to industry standards. Deploy production quality code through CI/CD pipelines into our cloud environment. Provide mentorship and guidance to junior team members, fostering their growth and development in data engineering practices. Qualifications 7+ years of experience in data engineering or a similar role. Proficiency in Python programming. Experience with building and managing data pipelines. Knowledge of data warehousing and ETL processes. Excellent problem-solving and communication skills. If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Client Server Ltd. is looking for a Marketing Data Analyst / Scientist in London. The ideal candidate should have expertise in data analysis, advanced SQL skills, and experience with A/B testing for marketing campaigns. This is a 13-month fixed-term contract providing a salary of up to £80k and benefits including a bonus, private medical care, and wellness subsidies. The role supports marketing effectiveness through stakeholder collaboration and data-driven insights.
13/06/2026
Full time
Client Server Ltd. is looking for a Marketing Data Analyst / Scientist in London. The ideal candidate should have expertise in data analysis, advanced SQL skills, and experience with A/B testing for marketing campaigns. This is a 13-month fixed-term contract providing a salary of up to £80k and benefits including a bonus, private medical care, and wellness subsidies. The role supports marketing effectiveness through stakeholder collaboration and data-driven insights.
Do you want to help define the future of blockchain intelligence? Are you passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values driven company that invests in its people and gives you the autonomy to shape critical systems? We're looking for a Senior Software Engineer to join Elliptic's Product Engineering organisation, focusing on data engineering solutions that power our analytics and intelligence products. As a senior member of the team, you will drive the technical direction of our data platform, ensuring it continues to meet the growing demands of blockchain analysis. Challenges include building a blockchain agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem. The impact you will have: Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will design and implement data systems that serve as the backbone of all Elliptic products. You will collaborate across blockchain, intelligence and product teams to deliver innovative features and scalable architectures that help the world fight financial crime and increase transparency in the crypto space. You will also mentor engineers, champion best practices, and influence cross team decisions that shape how Elliptic processes and delivers blockchain intelligence data. What you will do: Architect, design, and implement large scale distributed data systems and pipelines. Contribute to technical decision making across batch and streaming data solutions. Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer focused products. Explore and integrate new technologies (e.g. data orchestration or cloud native tools) to optimise performance and scalability. Take shared ownership of data systems, from design to deployment and ongoing improvement and support. Perform thoughtful peer reviews that raise code quality and share best practices across the team. Contribute to platform wide initiatives that improve reliability, observability, and cost efficiency. Help shape the technical roadmap for data engineering across Elliptic. Tech environment: Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming We value depth in any modern data ecosystem. If you're strong in equivalent technologies and excited to learn Scala, we'll support you in the transition. You will thrive here if you: Enjoy end to end ownership, from architecture design to coaching others through delivery. Strive for engineering excellence and scalable, sustainable systems. Use data and experimentation to guide decisions. Communicate openly and collaborate across teams. Support and coach less experienced engineers. Believe every challenge is an opportunity to simplify and innovate together. What we are looking for: Ability to design, build, and maintain distributed data systems in a cloud based environment. Hands on experience with big data frameworks such as Spark or Databricks (or a willingness to learn). Knowledge of cloud infrastructure (AWS, GCP, or Azure). Judgement to balance scalability, performance, and maintainability. Experience or interest in functional programming, data modelling, workflow orchestration, or AI driven tools. If you don't meet every criterion but are excited about this role, we encourage you to apply. Bonus Points for: Experience in stream processing frameworks and event driven architecture. Hands on experience with Infrastructure as Code (Terraform, CloudFormation). Experience working in containerised environments (Docker, Kubernetes). Interest in crypto and blockchain technologies. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.
13/06/2026
Full time
Do you want to help define the future of blockchain intelligence? Are you passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values driven company that invests in its people and gives you the autonomy to shape critical systems? We're looking for a Senior Software Engineer to join Elliptic's Product Engineering organisation, focusing on data engineering solutions that power our analytics and intelligence products. As a senior member of the team, you will drive the technical direction of our data platform, ensuring it continues to meet the growing demands of blockchain analysis. Challenges include building a blockchain agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem. The impact you will have: Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will design and implement data systems that serve as the backbone of all Elliptic products. You will collaborate across blockchain, intelligence and product teams to deliver innovative features and scalable architectures that help the world fight financial crime and increase transparency in the crypto space. You will also mentor engineers, champion best practices, and influence cross team decisions that shape how Elliptic processes and delivers blockchain intelligence data. What you will do: Architect, design, and implement large scale distributed data systems and pipelines. Contribute to technical decision making across batch and streaming data solutions. Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer focused products. Explore and integrate new technologies (e.g. data orchestration or cloud native tools) to optimise performance and scalability. Take shared ownership of data systems, from design to deployment and ongoing improvement and support. Perform thoughtful peer reviews that raise code quality and share best practices across the team. Contribute to platform wide initiatives that improve reliability, observability, and cost efficiency. Help shape the technical roadmap for data engineering across Elliptic. Tech environment: Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming We value depth in any modern data ecosystem. If you're strong in equivalent technologies and excited to learn Scala, we'll support you in the transition. You will thrive here if you: Enjoy end to end ownership, from architecture design to coaching others through delivery. Strive for engineering excellence and scalable, sustainable systems. Use data and experimentation to guide decisions. Communicate openly and collaborate across teams. Support and coach less experienced engineers. Believe every challenge is an opportunity to simplify and innovate together. What we are looking for: Ability to design, build, and maintain distributed data systems in a cloud based environment. Hands on experience with big data frameworks such as Spark or Databricks (or a willingness to learn). Knowledge of cloud infrastructure (AWS, GCP, or Azure). Judgement to balance scalability, performance, and maintainability. Experience or interest in functional programming, data modelling, workflow orchestration, or AI driven tools. If you don't meet every criterion but are excited about this role, we encourage you to apply. Bonus Points for: Experience in stream processing frameworks and event driven architecture. Hands on experience with Infrastructure as Code (Terraform, CloudFormation). Experience working in containerised environments (Docker, Kubernetes). Interest in crypto and blockchain technologies. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.
Tech Lead MLOps - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands-on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high-quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands-on in the codebase, especially when the team is dealing with ambiguity, cross-system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential: Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the product is high-quality data and you can speak the language of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross-functional projects. You can balance hands-on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high-stakes decision-making. Bonus: A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field Experience building and maintaining analytics systems Experience with Python, Snowflake, or PostgreSQL Experience working on feature-management systems such as feature services or features stores An understanding of complex data systems, including event-sourced data models The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack
13/06/2026
Full time
Tech Lead MLOps - Decision Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Credit Risk team builds and maintains the technology and models that determine who iwoca lends to, how much, and on what terms. Their work covers credit scoring, scorecard development, approval thresholds, and portfolio monitoring - all working to maximise lending volume without taking on disproportionate risk. The team has nine data scientists, four engineers, and two strategy analysts. The data scientists analyse past data and make the models; the engineers build and maintain the supporting infrastructure; and the strategy analysts translate model outputs into lending decisions. The role As Tech Lead, you'll be responsible for the engineering systems that underpin Credit Risk modelling at iwoca. You'll focus on the platform, pipelines, and production systems around the models, rather than building models yourself. This is a hands-on technical leadership role, combining technical direction, line management, and individual contribution. Technical leadership Lead four engineers working on the modelling platform and surrounding systems; help the team deliver high-quality solutions. Raise engineering standards across modelling systems and infrastructure, with a focus on reliability, observability, reproducibility, and safe change. Set technical direction by understanding adjacent systems, workflows, and constraints to identify the right problems to solve at the right time. Individual contribution Stay hands-on in the codebase, especially when the team is dealing with ambiguity, cross-system complexity, or problems without an obvious owner. Lead by example in how problems are approached and how rigour is balanced with speed of delivery. Contribute directly to the systems that matter most, making pragmatic changes that reduce friction, strengthen the platform, and improve reliability in production. Work that matters Engineering decisions in this area directly affect the accuracy of our credit decisions and the volume of lending iwoca can responsibly support. Better infrastructure leads to faster experimentation and better models Help the team to work faster and with more confidence in the platform. Work with data scientists and strategy analysts to maintain the feedback loop between analysis, strategy and engineering. The requirements Essential: Advanced proficiency in software development. Experience building and shaping large systems in complex business domains. Experience building robust systems where the product is high-quality data and you can speak the language of analysts and data scientists. Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems. Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross-functional projects. You can balance hands-on coding with strategic planning. You use AI (like Cursor, Claude Code or similar) in your daily flow-whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high-stakes decision-making. Bonus: A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field Experience building and maintaining analytics systems Experience with Python, Snowflake, or PostgreSQL Experience working on feature-management systems such as feature services or features stores An understanding of complex data systems, including event-sourced data models The salary We expect to pay from £100,000 - £160,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack
The Climate Data Utility Tech Team is actively searching for an experienced Senior Data Engineer to play a pivotal role in the design, implementation, enhancement, and maintenance of scalable data pipelines for the Net-Zero Data Public Utility. These pipelines are essential for the Utility's mission of providing open and accessible public good data through both the Climate Data Utility website and APIs. A successful candidate will face the challenge of working with data originating from a wide array of sources, each with its own formats, fields, and access protocols. Responsibilities will encompass the full data lifecycle from the extraction of data from sources, transforming it according to source and domain specific business logic, and pushing it through the Utility's ingestion process. Additionally, you will be expected to implement data quality checks and validation procedures to ensure the accuracy and reliability of the data provided by the Utility. Responsibilities Design and develop scalable data pipelines using Python to read from APIs and structured files (Excel, Parquet). Translate domain and source specific business logic into efficient code implementations to turn source data into usable structured data for downstream applications. Implement data transformations and structuring using tools like Pandas and Pydantic to ensure data quality, consistency, and adherence to business logic requirements. Collaborate with data scientists and analysts to support data-driven decision making. Document data engineering processes, including data lineage, data dictionaries, and system architectures. Maintain best practices through code reviews, version control, and adherence to industry standards. Deploy production quality code through CI/CD pipelines into our cloud environment. Provide mentorship and guidance to junior team members, fostering their growth and development in data engineering practices. Qualifications 7+ years of experience in data engineering or a similar role. Proficiency in Python programming. Experience with building and managing data pipelines. Knowledge of data warehousing and ETL processes. Excellent problem-solving and communication skills.
13/06/2026
Full time
The Climate Data Utility Tech Team is actively searching for an experienced Senior Data Engineer to play a pivotal role in the design, implementation, enhancement, and maintenance of scalable data pipelines for the Net-Zero Data Public Utility. These pipelines are essential for the Utility's mission of providing open and accessible public good data through both the Climate Data Utility website and APIs. A successful candidate will face the challenge of working with data originating from a wide array of sources, each with its own formats, fields, and access protocols. Responsibilities will encompass the full data lifecycle from the extraction of data from sources, transforming it according to source and domain specific business logic, and pushing it through the Utility's ingestion process. Additionally, you will be expected to implement data quality checks and validation procedures to ensure the accuracy and reliability of the data provided by the Utility. Responsibilities Design and develop scalable data pipelines using Python to read from APIs and structured files (Excel, Parquet). Translate domain and source specific business logic into efficient code implementations to turn source data into usable structured data for downstream applications. Implement data transformations and structuring using tools like Pandas and Pydantic to ensure data quality, consistency, and adherence to business logic requirements. Collaborate with data scientists and analysts to support data-driven decision making. Document data engineering processes, including data lineage, data dictionaries, and system architectures. Maintain best practices through code reviews, version control, and adherence to industry standards. Deploy production quality code through CI/CD pipelines into our cloud environment. Provide mentorship and guidance to junior team members, fostering their growth and development in data engineering practices. Qualifications 7+ years of experience in data engineering or a similar role. Proficiency in Python programming. Experience with building and managing data pipelines. Knowledge of data warehousing and ETL processes. Excellent problem-solving and communication skills.
An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Tech & Innovation function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development. The Company mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category - recognized as the world's most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform, and how all parts of the ecosystem connect. Because progress doesn't happen in isolation, it takes alignment, intelligence, and trust. That's what we enable. That's what we stand for. That's Unified Marketing Intelligence. mediasense is designed around how we help marketers optimize and transform through best in class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. mediasense has over 200 employees across London, New York, Singapore and New Delhi. What We Offer Hybrid working Initial 28 days holiday (before bank holidays) with an accrual of 4 days over first 4 years of service Day off for your birthday + 10 days annual leave purchase per year Length of service awards Work from any location in the world up to 4 weeks per year Bonuses: Discretionary company bonus scheme & new business bonus, employee referral bonus Pension & Group life insurance Private healthcare, enhanced parental, Employee assistance program Annual season ticket loan, Cycle to work scheme + Tech & voucher schemes Eye test & contribution towards glasses for VDU Charity Day plus fund raising events for charity Learning & development opportunities Frequent events- such as summer, winter & bi-weekly socials Free fruit & snacks + building linked benefits such as being dog friendly, access to gyms & complementary gifts, classes or discounts The Role This role is for a Senior Data Engineer, based in London. This role will report into the VP, Data & Insights Lead. We are looking for someone who brings data engineering discipline as a first instinct: CI/CD, testing, and release management as core practice, applied to data product development. This is a mid-level, hands on role for a technically strong generalist who wants real ownership in a lean, fast moving team. Responsibilities Data product development: design, build, and maintain data pipelines on Snowflake - staging through to mart - and package outputs as versioned products with defined schemas and release notes CI/CD & testing: establish and champion automated test and deployment pipelines; write unit, integration, and data quality tests as a matter of course, not an afterthought Platform operations: administer and optimise our Snowflake environment - compute, query performance, cost management, and access controls Legacy migration: support the move of Alteryx based workflows into maintainable, automated pipelines within the lakehouse Infrastructure as code: contribute to reproducible, auditable environment management using Terraform or equivalent Collaboration: translate requirements from data scientists and analysts into engineering solutions; support analysts on their engineering development pathway Documentation: maintain clear technical documentation so knowledge is transferable and does not reside with any single individual The Candidate The ideal candidate will have a strong academic background in computer science, engineering, mathematics, or a related discipline preferred. More important than credentials: direct ownership, clear communication about what you know and don't, and code you're proud to have the next person read. Required General project management - ability to manage timelines, communicate to stakeholders, and deliver to scope Snowflake - hands on with data modelling, compute management, SQL optimisation, and access controls Python - fluent for pipeline development, ETL/ELT patterns, and automation; clean, testable code CI/CD - practical experience with GitHub Actions or equivalent; version control as professional discipline Testing - writes tests as a matter of course: pytest, Great Expectations, DBT tests or equivalent Engineering fundamentals - design patterns, modular architecture, release management, and documentation standards Desired DBT - models, tests, macros, and documentation Orchestration - Airflow, Prefect, Dagster, or equivalent Infrastructure as code - Terraform or similar Data Governance - lineage tracking, quality frameworks, access policy Please note that we can only consider candidates who already have the right to work in the UK and do not require, now or in the future, visa sponsorship.
13/06/2026
Full time
An exciting opportunity has become available to be part of our fast-growing team and to be a key part of the Tech & Innovation function. This role provides an outstanding opportunity to join a growing global integrated marketing advisory and will provide an ambitious individual with valuable experience for progression and development. The Company mediasense is a global, independent advisor that brings the clarity, connection and confidence modern marketers need to fuel growth. We help marketers eliminate waste and maximize the impact of their most significant investments at scale. Our ambition is to define and own an entirely new category - recognized as the world's most trusted, independent and impactful marketing advisor. We do this by elevating how clients operate, how agencies deliver, how platforms perform, and how all parts of the ecosystem connect. Because progress doesn't happen in isolation, it takes alignment, intelligence, and trust. That's what we enable. That's what we stand for. That's Unified Marketing Intelligence. mediasense is designed around how we help marketers optimize and transform through best in class structure and governance (Organization), partners and platforms (Ecosystem), governance and controls (Assurance), and measurement and effectiveness (Science). We have the proven ability to effectively support large, complex organizations and deliver multiple projects simultaneously. As evidenced through our strong track record with clients, we pride ourselves on the consistent high quality of service delivery and the ability to accelerate transformation and growth. mediasense has over 200 employees across London, New York, Singapore and New Delhi. What We Offer Hybrid working Initial 28 days holiday (before bank holidays) with an accrual of 4 days over first 4 years of service Day off for your birthday + 10 days annual leave purchase per year Length of service awards Work from any location in the world up to 4 weeks per year Bonuses: Discretionary company bonus scheme & new business bonus, employee referral bonus Pension & Group life insurance Private healthcare, enhanced parental, Employee assistance program Annual season ticket loan, Cycle to work scheme + Tech & voucher schemes Eye test & contribution towards glasses for VDU Charity Day plus fund raising events for charity Learning & development opportunities Frequent events- such as summer, winter & bi-weekly socials Free fruit & snacks + building linked benefits such as being dog friendly, access to gyms & complementary gifts, classes or discounts The Role This role is for a Senior Data Engineer, based in London. This role will report into the VP, Data & Insights Lead. We are looking for someone who brings data engineering discipline as a first instinct: CI/CD, testing, and release management as core practice, applied to data product development. This is a mid-level, hands on role for a technically strong generalist who wants real ownership in a lean, fast moving team. Responsibilities Data product development: design, build, and maintain data pipelines on Snowflake - staging through to mart - and package outputs as versioned products with defined schemas and release notes CI/CD & testing: establish and champion automated test and deployment pipelines; write unit, integration, and data quality tests as a matter of course, not an afterthought Platform operations: administer and optimise our Snowflake environment - compute, query performance, cost management, and access controls Legacy migration: support the move of Alteryx based workflows into maintainable, automated pipelines within the lakehouse Infrastructure as code: contribute to reproducible, auditable environment management using Terraform or equivalent Collaboration: translate requirements from data scientists and analysts into engineering solutions; support analysts on their engineering development pathway Documentation: maintain clear technical documentation so knowledge is transferable and does not reside with any single individual The Candidate The ideal candidate will have a strong academic background in computer science, engineering, mathematics, or a related discipline preferred. More important than credentials: direct ownership, clear communication about what you know and don't, and code you're proud to have the next person read. Required General project management - ability to manage timelines, communicate to stakeholders, and deliver to scope Snowflake - hands on with data modelling, compute management, SQL optimisation, and access controls Python - fluent for pipeline development, ETL/ELT patterns, and automation; clean, testable code CI/CD - practical experience with GitHub Actions or equivalent; version control as professional discipline Testing - writes tests as a matter of course: pytest, Great Expectations, DBT tests or equivalent Engineering fundamentals - design patterns, modular architecture, release management, and documentation standards Desired DBT - models, tests, macros, and documentation Orchestration - Airflow, Prefect, Dagster, or equivalent Infrastructure as code - Terraform or similar Data Governance - lineage tracking, quality frameworks, access policy Please note that we can only consider candidates who already have the right to work in the UK and do not require, now or in the future, visa sponsorship.
South 11 is looking for a Senior Data Engineer to enhance their data platform. This role involves migrating from SQL Server to AWS, developing data solutions using AWS services, and automating data processes. The successful candidate will work with data scientists, mentor junior engineers, and implement data quality checks. The role offers a salary between £55,000 and £80,000, alongside various employee benefits including bonuses, enhanced parental pay, and wellness support.
13/06/2026
Full time
South 11 is looking for a Senior Data Engineer to enhance their data platform. This role involves migrating from SQL Server to AWS, developing data solutions using AWS services, and automating data processes. The successful candidate will work with data scientists, mentor junior engineers, and implement data quality checks. The role offers a salary between £55,000 and £80,000, alongside various employee benefits including bonuses, enhanced parental pay, and wellness support.
Role: Application Support Client: Quant Fund - Global collaborative firm run by passionate Computer Scientists Salary: Up to £150,000 + bonus + package/perks Location: London (Hybrid/Remote - 3/4 days onsite) Overview In this position, you will manage the readiness of global trading platforms, covering pre-trading and post-trading activities. Quickly identify, analyze, and resolve issues or escalate as needed to minimize disruptions and prevent outages, ensuring smooth trade operations. (A full and detailed job spec is available) Key Responsibilities Platform Readiness: Manage the readiness of global trading platforms across pre-trading and post-trading activities. Issue Resolution: Quickly identify, analyze, and resolve technical issues to minimize disruptions. Outage Prevention: Escalate as needed to prevent outages and ensure smooth trade operations. System Maintenance: Ensure the continuous stability and performance of mission-critical trading systems. Skills and Experience Track Record: Minimum 2 years trade flow support experience. Scripting: Solid Python and/or Bash scripting. Data: An understanding of relational databases and querying (SQL, Postgres etc.). Systems: Must love Linux. Personality: A personality and genuine passion in technology! Nice to Have Education: Computer Science Degree.
13/06/2026
Full time
Role: Application Support Client: Quant Fund - Global collaborative firm run by passionate Computer Scientists Salary: Up to £150,000 + bonus + package/perks Location: London (Hybrid/Remote - 3/4 days onsite) Overview In this position, you will manage the readiness of global trading platforms, covering pre-trading and post-trading activities. Quickly identify, analyze, and resolve issues or escalate as needed to minimize disruptions and prevent outages, ensuring smooth trade operations. (A full and detailed job spec is available) Key Responsibilities Platform Readiness: Manage the readiness of global trading platforms across pre-trading and post-trading activities. Issue Resolution: Quickly identify, analyze, and resolve technical issues to minimize disruptions. Outage Prevention: Escalate as needed to prevent outages and ensure smooth trade operations. System Maintenance: Ensure the continuous stability and performance of mission-critical trading systems. Skills and Experience Track Record: Minimum 2 years trade flow support experience. Scripting: Solid Python and/or Bash scripting. Data: An understanding of relational databases and querying (SQL, Postgres etc.). Systems: Must love Linux. Personality: A personality and genuine passion in technology! Nice to Have Education: Computer Science Degree.
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, we run hundreds of A/B tests at any given time, each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem, with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting, high impact environment where data engineering plays a crucial role in shaping our business decisions. We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimise experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimise our analytics stack to empower decision making across the company. Why You'll Love This Role Cutting edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices. End to End impact: own and evolve the entire data pipeline, from ingestion to transformation and modelling, ensuring accuracy, scalability, and performance. Cross team collaboration: partner with data scientists, analysts, and engineers to create high quality, actionable datasets for business insights. Continuous learning & growth: be part of a data driven culture where innovation, best practices, and ownership drive success. What you will be doing Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability. Develop and optimise sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi terabyte data ecosystem. Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self service analytics. Provide technical leadership in collaboration with data science teams to optimise analytical workflows, reduce redundancy, and enforce robust data governance. Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring. Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision making. Strategically influence and drive company wide data strategies supporting rapid product growth, sophisticated experimentation, and large scale personalisation initiatives. What you need to succeed 5+ years of hands on experience in analytics engineering, data engineering, or related fields. Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimising data models. Deep understanding of advanced data governance frameworks, modelling best practices, and implementation of scalable self service analytics platforms. Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics. Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact. Strategic mindset, high creativity, and an initiative driven approach to developing and evaluating cutting edge solutions. Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders. Nice to have Experience leading and scaling data infrastructure within rapidly growing startups. Advanced hands on expertise with DBT, Looker, or Airflow. Proven experience in defining and standardising event taxonomies and KPIs within medium to large organisations. Strong experience in AWS or Google Cloud data ecosystems. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilise our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritise collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
13/06/2026
Full time
We power people's progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact. We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale. Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day. Meet the team! At Preply, we run hundreds of A/B tests at any given time, each with unique tracking and analytical challenges. Our platform spans a diverse product ecosystem, with sophisticated tutor-learner interactions that generate a vast amount of data. This creates an exciting, high impact environment where data engineering plays a crucial role in shaping our business decisions. We are passionate about building a modern data infrastructure that enables our teams to extract insights, optimise experiments, and power innovation. As an Analytics Engineer, you will help shape critical data models, streamline pipelines, and optimise our analytics stack to empower decision making across the company. Why You'll Love This Role Cutting edge data stack: work with DBT, Snowflake, Airflow, Looker, Databricks, Monte Carlo, and help shape our future tech choices. End to End impact: own and evolve the entire data pipeline, from ingestion to transformation and modelling, ensuring accuracy, scalability, and performance. Cross team collaboration: partner with data scientists, analysts, and engineers to create high quality, actionable datasets for business insights. Continuous learning & growth: be part of a data driven culture where innovation, best practices, and ownership drive success. What you will be doing Lead the architecture, design, and evolution of complex data models ensuring clarity, accessibility, scalability, and reliability. Develop and optimise sophisticated ETL/ELT pipelines, enhancing performance and scalability within our multi terabyte data ecosystem. Own and enhance our BI layer (Looker via LookML), ensuring intuitive, performant, and scalable self service analytics. Provide technical leadership in collaboration with data science teams to optimise analytical workflows, reduce redundancy, and enforce robust data governance. Champion engineering best practices, including advanced version control, CI/CD pipelines for analytics, and rigorous automated data quality monitoring. Drive initiatives ensuring data reliability, cleanliness, accuracy, and comprehensive documentation for critical business decision making. Strategically influence and drive company wide data strategies supporting rapid product growth, sophisticated experimentation, and large scale personalisation initiatives. What you need to succeed 5+ years of hands on experience in analytics engineering, data engineering, or related fields. Expert proficiency in SQL and Python, with a proven track record in designing, implementing, and optimising data models. Deep understanding of advanced data governance frameworks, modelling best practices, and implementation of scalable self service analytics platforms. Exceptional blend of technical skills, business acumen, and compelling communication skills to effectively persuade and influence stakeholders on complex topics. Proven track record in identifying complex problems and delivering proactive, innovative solutions to uncover new use cases of our data to bring direct business impact. Strategic mindset, high creativity, and an initiative driven approach to developing and evaluating cutting edge solutions. Fluency in English (C1 level or above), with exceptional ability to clearly articulate complex data concepts to diverse stakeholders. Nice to have Experience leading and scaling data infrastructure within rapidly growing startups. Advanced hands on expertise with DBT, Looker, or Airflow. Proven experience in defining and standardising event taxonomies and KPIs within medium to large organisations. Strong experience in AWS or Google Cloud data ecosystems. Why you'll love it at Preply An open, collaborative, dynamic and diverse culture; A generous monthly allowance for lessons on Learning & Development budget and time off for your self development; A competitive financial package with equity, leave allowance and health insurance; Access to free mental health support platforms; The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!) Our Principles Care to change the world - We are passionate about our work and care deeply about its impact to be life changing. We do it for learners - For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience. Keep perfecting - To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters. Now is the time - In a fast paced world, it matters how quickly we act. Now is the time to make great things happen. Disciplined execution - What makes us disciplined is the excellence in our execution. We set clear goals, focus on what matters, and utilise our resources efficiently. Dive deep - We leverage business acumen and curiosity to investigate disparities between numbers and stories, unlocking meaningful insights to guide our decisions. Growth mindset - We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. We humbly embrace feedback and learn from setbacks. Raise the bar - We raise our performance standards continuously, alongside each new hire and promotion. We build diverse and high performing teams that can make a real difference. Challenge, disagree and commit - We value open and candid communication, even when we don't fully agree. We speak our minds, challenge when necessary, and fully commit to decisions once made. One Preply - We prioritise collaboration, inclusion, and the success of our team over personal ambitions. Together, we support and celebrate each other's progress. Diversity, Equity, and Inclusion is committed to creating an inclusive environment where people of diverse backgrounds can thrive. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed Tech company. That means that Preply will consider all applications for employment without regard to race, colour, religion, gender identity or expression, sexual orientation, national origin, disability, age or veteran status.
Bloomberg is seeking an experienced Senior Data Engineer in Greater London to design, implement, and maintain scalable data pipelines critical for the Net-Zero Data Public Utility. With at least 7 years in data engineering, you will work with diverse data sources, utilizing Python and tools like Pandas and Pydantic to ensure data accuracy and quality. You will also provide mentorship to junior team members while collaborating with data scientists to support data-driven decisions.
13/06/2026
Full time
Bloomberg is seeking an experienced Senior Data Engineer in Greater London to design, implement, and maintain scalable data pipelines critical for the Net-Zero Data Public Utility. With at least 7 years in data engineering, you will work with diverse data sources, utilizing Python and tools like Pandas and Pydantic to ensure data accuracy and quality. You will also provide mentorship to junior team members while collaborating with data scientists to support data-driven decisions.
A dynamic clean energy company located in Manchester seeks a passionate software developer to tackle real-world energy issues. You'll work on innovative projects that utilize Python, SQL, and Typescript, documenting and sharing insights effectively. The role offers significant career growth opportunities in a high-performing and friendly team environment. Starting salary is £34,000, complemented by a bonus scheme for high performers.
13/06/2026
Full time
A dynamic clean energy company located in Manchester seeks a passionate software developer to tackle real-world energy issues. You'll work on innovative projects that utilize Python, SQL, and Typescript, documenting and sharing insights effectively. The role offers significant career growth opportunities in a high-performing and friendly team environment. Starting salary is £34,000, complemented by a bonus scheme for high performers.
At Volcore, our team of wholesale electricity traders and technical experts work together to make real-time decisions that support increasing renewable generation and keep the electricity system stable. We are a profitable and ambitious scale-up, with several full-time, on-site openings in our technical team to underpin our rapid growth. LOCATION Manchester City Centre, On-site EMPLOYMENT TYPE Permanent Full-Time What You'll Do Solve real-world energy problems, often requiring novel approaches developed through team collaboration and original research. Identify and ingest relevant data, ensuring thorough documentation in our internal knowledge base. Iteratively test hypotheses and develop proof-of-concepts to solve real-time forecasting problems. Document and visualise results, sharing insights with the team. Develop, deploy and maintain our software with a focus on speed and accuracy. Continually improve our shared libraries and workflows to ensure they are fast, accurate and a delight to use. Become a trusted expert in the topics you work most deeply on. Why Volcore? Uncapped career development: Deliver value, and you'll be recognised and rewarded, regardless of title or experience. We offer continuous opportunities for growth and new challenges. Fast-growing scale-up: We're a profitable, ambitious company on a rapid growth trajectory, giving you the opportunity to play a key role in shaping our future. Impactful problem solving: You will be trusted with significant projects that can immediately, visibly affect our success and the industry more broadly, leading to innovative solutions in areas that haven't been tackled before. Minimal bureaucracy: Your ideas and feedback matter. We prioritise time for you to focus on what you do best, while still providing support from the wider team. Modern tech stack: Including Python, Node JS / Typescript, PostgreSQL, DuckDB and Rust. Colleagues instead of customers: Everything you build will be used by people sitting next to you. High-performing, friendly team: Work alongside bright, driven people who are trusted to deliver and enjoy socialising after a successful day. About You No energy expertise required, but you must quickly learn new concepts and think independently. Strong software development fundamentals, including optimisation of performance and implementation of complex algorithms from scratch. Ideally this should be demonstrated through passion projects or work experience beyond coursework. Strong modelling and analysis skills using Python, SQL and backend Typescript (or two of the three and the ability to very quickly upskill with targeted support). Excellent, practical statistical/mathematical knowledge. The ability to document and communicate your thinking clearly, including in our knowledge base, notebooks, comments and code itself. Ownership of projects from start to finish, with intrinsic drive to deliver high-quality work quickly. By the time this role commences, be eligible to live and work full-time in the UK. Previous longer-term employment, even where not directly related to this role, e.g. hospitality and labouring. Software development outside of academic study, including personal projects and professional work. Meteorological data manipulation and physical systems modelling. Real-time and online forecasting, especially time-series. Starting salary: £34,000 + participation in our bonus scheme for high-performers. To apply, please: Submit your CV, highlighting how your experience meets the requirements for this role Complete the short application questionnaire Thank you for reading this far. We look forward to hearing from you.
13/06/2026
Full time
At Volcore, our team of wholesale electricity traders and technical experts work together to make real-time decisions that support increasing renewable generation and keep the electricity system stable. We are a profitable and ambitious scale-up, with several full-time, on-site openings in our technical team to underpin our rapid growth. LOCATION Manchester City Centre, On-site EMPLOYMENT TYPE Permanent Full-Time What You'll Do Solve real-world energy problems, often requiring novel approaches developed through team collaboration and original research. Identify and ingest relevant data, ensuring thorough documentation in our internal knowledge base. Iteratively test hypotheses and develop proof-of-concepts to solve real-time forecasting problems. Document and visualise results, sharing insights with the team. Develop, deploy and maintain our software with a focus on speed and accuracy. Continually improve our shared libraries and workflows to ensure they are fast, accurate and a delight to use. Become a trusted expert in the topics you work most deeply on. Why Volcore? Uncapped career development: Deliver value, and you'll be recognised and rewarded, regardless of title or experience. We offer continuous opportunities for growth and new challenges. Fast-growing scale-up: We're a profitable, ambitious company on a rapid growth trajectory, giving you the opportunity to play a key role in shaping our future. Impactful problem solving: You will be trusted with significant projects that can immediately, visibly affect our success and the industry more broadly, leading to innovative solutions in areas that haven't been tackled before. Minimal bureaucracy: Your ideas and feedback matter. We prioritise time for you to focus on what you do best, while still providing support from the wider team. Modern tech stack: Including Python, Node JS / Typescript, PostgreSQL, DuckDB and Rust. Colleagues instead of customers: Everything you build will be used by people sitting next to you. High-performing, friendly team: Work alongside bright, driven people who are trusted to deliver and enjoy socialising after a successful day. About You No energy expertise required, but you must quickly learn new concepts and think independently. Strong software development fundamentals, including optimisation of performance and implementation of complex algorithms from scratch. Ideally this should be demonstrated through passion projects or work experience beyond coursework. Strong modelling and analysis skills using Python, SQL and backend Typescript (or two of the three and the ability to very quickly upskill with targeted support). Excellent, practical statistical/mathematical knowledge. The ability to document and communicate your thinking clearly, including in our knowledge base, notebooks, comments and code itself. Ownership of projects from start to finish, with intrinsic drive to deliver high-quality work quickly. By the time this role commences, be eligible to live and work full-time in the UK. Previous longer-term employment, even where not directly related to this role, e.g. hospitality and labouring. Software development outside of academic study, including personal projects and professional work. Meteorological data manipulation and physical systems modelling. Real-time and online forecasting, especially time-series. Starting salary: £34,000 + participation in our bonus scheme for high-performers. To apply, please: Submit your CV, highlighting how your experience meets the requirements for this role Complete the short application questionnaire Thank you for reading this far. We look forward to hearing from you.
Overview When joining PerkinElmer, you select an experienced and trusted leader in scientific solutions with a global service network and distribution centers. Our mission is to advance science and innovate for a healthier world, partnering with commercial, government, academic and healthcare customers to deliver analytical solutions and OneSource services. Job Title and Location Automation Leader - Stevenage (UK) on customer site Responsibilities Managerial Duties: supervise and contribute to the team in delivering high-quality automation service support; oversee the work, training, development and safety of all reporting staff; address operational and performance issues; escalate to line manager as appropriate. Assist in recruitment, induction and training; routine performance management; ensure procedures comply with safety regulations; assist in generating SOPs, work instructions, local method statements and risk assessments as needed; ensure adherence to quality, skill and safety requirements. Promote PerkinElmer core values and act as an ambassador for TLS; escalate business development opportunities to line manager. Ensure timely and accurate reporting of data including performance metrics. Operational Duties: act as first-responder for critical equipment breakdowns to minimize impact on scientific activity. Perform ongoing system performance analysis from error logs, live run interventions, root-cause analysis and trend errors to mitigate recurrence. Provide technical mediation for long-running equipment issues involving multiple vendors. Develop training packages for automation platforms for LIS Engineers and client staff; develop and implement a proactive maintenance regime for key equipment. Oversee and participate in equipment support activities; train scientists in best practice for automated equipment use; ensure health and safety, security, environmental and operational compliance. Engage with scientific teams, present data, and identify opportunities for innovation; discuss service improvements with the team leader and customers; share best practices with other groups. Track assay performance metrics; communicate issues and suggest improvements to current assay methods and evaluate new technologies where applicable. Work independently and flexibly to support team priorities and meet realistic schedules. Qualifications Basic Qualifications: BSc or equivalent in a relevant subject (e.g., Engineering, Technical or Scientific) with relevant laboratory experience; demonstrated experience leading teams, delivering training, or coaching staff; 2 years of demonstrated technical experience with automated laboratory activities; knowledge of good laboratory safety practices. Preferred Qualifications: Masters or Doctorate in a relevant subject; solid understanding of core competencies in liquid handling and integrated automation platforms; experience writing protocols using software such as Cellario, Evoware, Fluent Control, Momentum, VWorks or equivalent; experience in a Pharmaceutical, Biotech, CRO or scientific laboratory environment; experience in a regulated environment; experience developing and optimizing complex protocols on liquid handling automation.
13/06/2026
Full time
Overview When joining PerkinElmer, you select an experienced and trusted leader in scientific solutions with a global service network and distribution centers. Our mission is to advance science and innovate for a healthier world, partnering with commercial, government, academic and healthcare customers to deliver analytical solutions and OneSource services. Job Title and Location Automation Leader - Stevenage (UK) on customer site Responsibilities Managerial Duties: supervise and contribute to the team in delivering high-quality automation service support; oversee the work, training, development and safety of all reporting staff; address operational and performance issues; escalate to line manager as appropriate. Assist in recruitment, induction and training; routine performance management; ensure procedures comply with safety regulations; assist in generating SOPs, work instructions, local method statements and risk assessments as needed; ensure adherence to quality, skill and safety requirements. Promote PerkinElmer core values and act as an ambassador for TLS; escalate business development opportunities to line manager. Ensure timely and accurate reporting of data including performance metrics. Operational Duties: act as first-responder for critical equipment breakdowns to minimize impact on scientific activity. Perform ongoing system performance analysis from error logs, live run interventions, root-cause analysis and trend errors to mitigate recurrence. Provide technical mediation for long-running equipment issues involving multiple vendors. Develop training packages for automation platforms for LIS Engineers and client staff; develop and implement a proactive maintenance regime for key equipment. Oversee and participate in equipment support activities; train scientists in best practice for automated equipment use; ensure health and safety, security, environmental and operational compliance. Engage with scientific teams, present data, and identify opportunities for innovation; discuss service improvements with the team leader and customers; share best practices with other groups. Track assay performance metrics; communicate issues and suggest improvements to current assay methods and evaluate new technologies where applicable. Work independently and flexibly to support team priorities and meet realistic schedules. Qualifications Basic Qualifications: BSc or equivalent in a relevant subject (e.g., Engineering, Technical or Scientific) with relevant laboratory experience; demonstrated experience leading teams, delivering training, or coaching staff; 2 years of demonstrated technical experience with automated laboratory activities; knowledge of good laboratory safety practices. Preferred Qualifications: Masters or Doctorate in a relevant subject; solid understanding of core competencies in liquid handling and integrated automation platforms; experience writing protocols using software such as Cellario, Evoware, Fluent Control, Momentum, VWorks or equivalent; experience in a Pharmaceutical, Biotech, CRO or scientific laboratory environment; experience in a regulated environment; experience developing and optimizing complex protocols on liquid handling automation.
About AGI Founded in Japan, the AGI Group (AGI) is a global engineering and technology company serving high-value chemical, pharmaceutical, energy, and advanced materials industries. Built on a heritage of precision engineering and long-term partnerships, AGI has evolved from its manufacturing roots into a global solutions provider supporting customers across the entire compound lifecycle,from laboratory innovation through to pilot and production scale. With its European headquarters in Zurich,and a growing international presence across North America, Europe, and Asia, AGI combines deep processexpertisewith forward-looking digital innovation. We work alongside our customers to solve complex scientific and engineering challenges,enabling safer, smarter, and more efficient operations that accelerate the advancement of science. At AGI, we believe progress happens when engineering excellence meets intelligent integration. About AGI SDA (Synthesis, Digitalization and Automation) inRoyston, UK TheAGI Synthesis, Digitalization and Automation (SDA) division develops the software and automation platforms that power AGI's next generation of scientific and industrial systems. Based in Royston, UK, our engineers build scalable software that connects laboratory instrumentation, automation, and digital workflows,enabling scientists and engineers to design, control, andoptimizecomplex chemical processes. About the Role Are you passionate abouttechnologyand excited to see your code drive real machines? Join us and help build the next generation of lab automation used by scientists worldwide. If you love tough technical challenges, fast collaboration, and building tech that directly fuels scientific discovery,you'llfit right in.It'sa veryhands-onrole, andyou'llspend most of your time deep in code. Key Duties and Responsibilities Design and build high-quality software across desktop, embedded, and server environments Develop modern solutions that streamline workflows for chemists and support real laboratory use cases Collaborate with architects, engineers, designers, and product managers to deliver robust, user-focused features Own components, contribute to architectural decisions, and helpestablishengineering best practices Mentor juniordevelopers and support knowledge sharing across the team Continuously improve our technology stack and explore new tools and approaches What You Bring 5+ years of software development experience and a relevant degree Strong knowledge of C#, .NET, software design principles, testing, and DevOps pipelines Experience building Windows applications (XAML) Familiarity with IoT protocols (MQTT, OPC/UA) Experience working with SQL databases and ORMs; understanding of NoSQL concepts Experience with Linux OS Comfortable working with AI agents and validating AI output Some non-essential but desirable experiences include Experience building cross-platform applications using Uno Platform Knowledge of modern C++ Experience building custom Linux distributions usingYoctoProject Familiarity withcloud-basedservices, ideally Microsoft Azure What You Will Enjoy The opportunity to build and shape a growing startup Real influence on product and technical decisions Flexible, partially remote work arrangements A trust-based, supportive international engineering culture Ongoing learning and professional growth opportunities Our employees receive the following benefits 25 days holiday per year (not including bank holidays) Hybrid working (only 2 days a week in the office) Pension scheme Private health insurance (AXA) Death in service benefit Employee health and wellbeing support (EAP) Ready to help shape the future with us? We'dlove to hear from you! Send your complete application (CV, cover letter, certificates, and relevant supporting documents) to . For any questions,Joanna ishappy to help. Please note,applicants must be eligible to work inthe UK. Unfortunately, we are unable to provide visa sponsorship for this role.
13/06/2026
Full time
About AGI Founded in Japan, the AGI Group (AGI) is a global engineering and technology company serving high-value chemical, pharmaceutical, energy, and advanced materials industries. Built on a heritage of precision engineering and long-term partnerships, AGI has evolved from its manufacturing roots into a global solutions provider supporting customers across the entire compound lifecycle,from laboratory innovation through to pilot and production scale. With its European headquarters in Zurich,and a growing international presence across North America, Europe, and Asia, AGI combines deep processexpertisewith forward-looking digital innovation. We work alongside our customers to solve complex scientific and engineering challenges,enabling safer, smarter, and more efficient operations that accelerate the advancement of science. At AGI, we believe progress happens when engineering excellence meets intelligent integration. About AGI SDA (Synthesis, Digitalization and Automation) inRoyston, UK TheAGI Synthesis, Digitalization and Automation (SDA) division develops the software and automation platforms that power AGI's next generation of scientific and industrial systems. Based in Royston, UK, our engineers build scalable software that connects laboratory instrumentation, automation, and digital workflows,enabling scientists and engineers to design, control, andoptimizecomplex chemical processes. About the Role Are you passionate abouttechnologyand excited to see your code drive real machines? Join us and help build the next generation of lab automation used by scientists worldwide. If you love tough technical challenges, fast collaboration, and building tech that directly fuels scientific discovery,you'llfit right in.It'sa veryhands-onrole, andyou'llspend most of your time deep in code. Key Duties and Responsibilities Design and build high-quality software across desktop, embedded, and server environments Develop modern solutions that streamline workflows for chemists and support real laboratory use cases Collaborate with architects, engineers, designers, and product managers to deliver robust, user-focused features Own components, contribute to architectural decisions, and helpestablishengineering best practices Mentor juniordevelopers and support knowledge sharing across the team Continuously improve our technology stack and explore new tools and approaches What You Bring 5+ years of software development experience and a relevant degree Strong knowledge of C#, .NET, software design principles, testing, and DevOps pipelines Experience building Windows applications (XAML) Familiarity with IoT protocols (MQTT, OPC/UA) Experience working with SQL databases and ORMs; understanding of NoSQL concepts Experience with Linux OS Comfortable working with AI agents and validating AI output Some non-essential but desirable experiences include Experience building cross-platform applications using Uno Platform Knowledge of modern C++ Experience building custom Linux distributions usingYoctoProject Familiarity withcloud-basedservices, ideally Microsoft Azure What You Will Enjoy The opportunity to build and shape a growing startup Real influence on product and technical decisions Flexible, partially remote work arrangements A trust-based, supportive international engineering culture Ongoing learning and professional growth opportunities Our employees receive the following benefits 25 days holiday per year (not including bank holidays) Hybrid working (only 2 days a week in the office) Pension scheme Private health insurance (AXA) Death in service benefit Employee health and wellbeing support (EAP) Ready to help shape the future with us? We'dlove to hear from you! Send your complete application (CV, cover letter, certificates, and relevant supporting documents) to . For any questions,Joanna ishappy to help. Please note,applicants must be eligible to work inthe UK. Unfortunately, we are unable to provide visa sponsorship for this role.
