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We are looking for an experienced Data Warehouse Modeler/Data Engineer with strong expertise in Snowflake and dbt to join a leading data transformation programme in EMEA. You will play a key role in designing and implementing end-to-end data pipelines, data models, and scalable data solutions . Key Responsibilities Design and build ETL/ELT pipelines for data ingestion and transformation Perform data mapping from source systems to Snowflake Develop conceptual, logical, and physical data models Build and maintain dbt models following best practices Optimize Snowflake performance (query tuning, clustering, materialization) Ensure data quality, governance, and lineage Collaborate with engineering and analytics teams Required Skills Strong experience with Snowflake (MANDATORY) Hands-on experience with dbt (Core or Cloud) Strong SQL and data modelling expertise (Kimball/Data Vault/Inmon) Experience in ETL/ELT design and data mapping Experience with tools like Informatica/Talend/SSIS/ODI (any) Nice to Have AWS Data Stack ( S3, Glue, EMR, PySpark ) Exposure to modern data architecture/lakehouse concepts Work Model 3 days onsite (Basildon or Dublin)

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in Snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.Join MUFG, where being inspired is expected and making a meaningful impact is rewarded. Front Office Management Information (FOMI) Part of the Data Engineering & Business Intelligence (DEBI) Department The FOMI team sits within the DEBI department, which is part of the broader Architecture, Middleware, Data Engineering & Business Intelligence (AMD) pillar of Technology.FOMI is responsible for designing and developing enterprise-grade solutions that support: Data integration Data processing Data warehousing Data mining Business' reporting and analyticsWhile the team primarily supports the Front Office, its services are highly sought after across the firm, often collaborating with other departments, management, and the executive. MAIN PURPOSE OF THE ROLE The Business Intelligence Developer plays a hands-on role in enhancing and evolving our data systems.Key responsibilities include: Developing and improving business intelligence solutions Driving deliverables across geographically dispersed teams Enhancing team performance and service quality Ensuring solutions align with the needs of our business partners KEY RESPONSIBILITIES Service Execution Subject matter expert, supporting the gathering of requirements for change initiatives and delivering solutions through an iterative approach Provide diagnostic support to the business, helping to identify and resolve issues efficiently Participate in MUFG initiatives to promote platform usage beyond the EMEA region Collaborate with other departments to deliver integrated services to the business Foster a dynamic, delivery-focused culture that responds effectively to business requirements Maintain system performance and stability through regular housekeeping and maintenance Ensure confidential and sensitive data is managed in compliance with internal and external policies Contribute to the annual Disaster Recovery and Fire Drill exercises for relevant systems Governance Ensure the platform complies with all Risk and Control requirements, including regulatory standards such as SOX and GDPR Culture and Leadership Champion MUFG's values-led culture, promoting inclusivity and diversity Build strong relationships with internal and external stakeholders to stay informed on industry best practices, influence change, and enhance technical credibility WORK EXPERIENCE Experience in working in a technology function that supports Front to Back Offices for Corporate banking and Securities business Proven track record of working on systems covering business intelligence requirements, working directly with business partners, to capture and deliver requirements in an agile manner Experience of working within geographically dispersed teams and with business stakeholders Experience of supporting multi-terabyte data warehouses and performance features Experience of delivering large scale software projects Experienced in dealing with a third party vendor or service providers SKILLS AND EXPERIENCE Essential - advanced proficiency Databases - SQL Server Data modelling - Star and Snowflake schemas Performance - monitoring and tuning Batch scheduling - such as Control-M Source control - such as Subversion and GitHub Software Development Lifecycle Stakeholder relations - speaking directly with business users Advantageous Snowflake Scripting languages - such as PowerShell, Python Azure Redgate Power BI - desktop, report builder, SaaS DAX, service principals, power query Task automation PERSONAL REQUIREMENTS Exceptional communicator Calm under pressure, able to meet tight deadlines and adapt to shifting priorities Results-oriented with strong ownership and accountability Proactive and highly motivated Able to act with urgency and prioritise effectively Decisive, with sound judgment Logical, structured thinker with creative problem-solving skills Strong analytical and numerical abilities Meticulous attention to detail and accuracyWe are open to considering flexible working requests in line with organisational requirements.MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.

Job Description Role: SAP Business Data Cloud (BDC) Architect Location: London /Birmingham/ Manchester Salary: Competitive salary and package dependent on experience Career Level: Associate Manager Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Accenture is a leading global professional services company, providing a broad variety of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: As one of SAP's Tier 1 global partners we understand the importance of data in our client's transformation journeys. Whether in the context of a S/4HANA transformation or of a data roadmap we strive to bring leading thinking and delivery of innovative solutions to our clients. You will work on full lifecycle data journeys with clients from roadmap through to execution, delivering value through the latest features and benefits within SAP solution set. In our team you will: Advising clients on their data architecture and platform strategies, driving value creation through the positioning of BDC alongside platforms from other vendors, shaping this into holistic data architecture strategies to support our clients AI and Analytics journeys. Leading the modernisation of clients BW landscapes, including shaping advice on BW PCE journeys and unlocking value through adoption of new BDC features. Lead end to end BDC solution delivery in either S/4HANA transformations or in standalone data initiatives. Work with a wide range of clients across many industries on their transformational journeys, ranging from smaller single function, in country projects to S/4HANA enabled global business transformations. As a SAP BDC Architect you will: Be an integral part of our team supporting our clients SAP transformation projects through acting as a data and solutions architect. You will work closely with clients, translating their business and functional requirements into SAP functional designs and overseeing solution delivery. Your strong business data and platform knowledge, combined with your in-depth expertise will be key to designing effective and efficient solutions for our clients. Qualification We are looking for experience in the following skills: At least two client delivery lifecycles on a solution stack that includes modern SAP data components including SAP Analytics Cloud and Datasphere. Deep experience gained in the delivery of SAP BW based solutions; ability to rapidly assess clients BW existings investments as part of modernisation solutioning. Extensive hands on delivery experience of SAP Analytics Data Cloud, SAP Datasphere and ideally some Databricks delivery experience. Proven enterprise data and analytics architecture skills that include experience of other non SAP data platforms and approaches for the integration of these with SAP solutions. Experience of integrating SAP with other modern data platforms including Databricks and Snowflake. Proven experience of the delivery of data strategies on large complex S/4HANA transformation programs. Proven capabilities in leading a distributed delivery team, working with colleagues in offshore delivery centres for solution delivery. Strong communication skills and demonstrated experience of working with senior client stakeholders acting as a trusted advisor. What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days' vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. Closing Date for Applications: 31/05/2026 Accenture reserves the right to close the role prior to this date should a suitable applicant be found. Locations London Birmingham Manchester Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .

About Us At Oakland, we help businesses unlock the power of their data. Whether it's data strategy, governance, engineering, analytics, or AI, we work with our clients to turn data into real, impactful results. Our team is made up of friendly, hands on experts who love solving problems and making a difference. We don't just advise - we roll up our sleeves and get stuck in, working alongside our clients every step of the way. Founded in 1986 out of our Leeds HQ, we work with a diverse range of clients across all sorts of industries including Utilities, Telecommunications, Media, Financial Services, Public Sector, and many more! Our projects range from multi year data transformations to specific, shorter term assignments, so you'll have plenty of opportunities to diversify your skillset. We meet high standards for social and environmental impact, transparency, and accountability. We believe businesses should be a force for good, so we make sure our decisions don't just benefit the bottom line but also our people, communities, and the planet. And it's not just us saying we're a great place to work we were recently named Top 5 Best Consultancy to work for in the UK through Best Companies! We're all about creating an environment where people can grow, do meaningful work, and enjoy the journey. The role As a Data Architect at Oakland, you will work closely with our clients to design innovative data solutions that address complex operational challenges and deliver meaningful business value. You will often act as the technical lead in the early stages of engagements, using your expertise to shape solution direction, define architectures, and guide the delivery of robust, working data platforms aligned to client needs. Your work will span a diverse range of clients and problem spaces. At Oakland, we operate across Data Platforms, Data Management, Data Strategy, AI, and Analytics and Insight, so a strong understanding of these areas and how they come together in a cohesive architecture is important. You will design end to end data solutions across a variety of technologies, working in both public cloud environments such as Azure and AWS, and hybrid cloud landscapes. You will apply strong data architecture principles to create solutions that are scalable, maintainable, and readily adoptable by client teams. While the primary focus of the role is the design and delivery of client solutions, you will also have the opportunity to contribute to technical pre sales, shape our internal offerings, and influence the evolution of Oakland's data capabilities. The person We are looking for a Data Architect with experience designing modern, scalable data solutions to help organisations unlock the full value of their data. You will be a technologist at heart, with a genuine interest in unpicking complex business challenges and translating them into effective, pragmatic data solutions. You will bring structure to ambiguity, whether that is shaping enterprise wide data models or diving into source systems to validate assumptions. This is a hands on, client facing role. Some days you will work top down, engaging stakeholders to understand business processes and data flows. Other days you will work bottom up, analysing data with SQL to assess quality, conformance, and fitness for purpose. You will be comfortable designing end to end data architectures spanning ingestion, storage, transformation, and consumption, and will have experience delivering these solutions in public or private cloud environments. You will also be a strong communicator, able to bring technical concepts to life for non technical audiences through clear storytelling and visualisation. We value principled thinking, so you will always act in the client's best interests, balancing ideal architecture with real world constraints. What you will be doing Designing scalable, secure, and cost effective data architectures across cloud and hybrid environments Translating business requirements into conceptual, logical, and physical data models Defining data platform strategies, patterns, and standards Working closely with engineers, analysts, and stakeholders to ensure solutions are practical and deliver value Assessing data quality, lineage, and governance considerations across systems Supporting delivery teams with architectural guidance and oversight Communicating complex ideas clearly to both technical and non technical audiences Skills and Experience As our projects vary, we are looking for a T shaped individual, someone with depth in architecture and breadth across the wider data ecosystem. You do not need everything below, but experience in several areas is expected. Core skills Ability to autonomously design and optimise conceptual, logical, and physical data models Experience designing complex cloud and hybrid cloud data platforms, balancing performance, scalability, resilience, and cost Strong understanding of data governance, data management frameworks, and best practices such as data quality, lineage, and metadata Advanced SQL skills and experience working directly with source data Broad knowledge of data engineering principles and modern data architectures such as lakehouse, data mesh, and medallion architecture Experience producing high level architectures and translating them into implementable designs Strong understanding of cloud native architecture including security boundaries, networking, identity, and access control Awareness of infrastructure and deployment practices such as CI/CD, infrastructure as code, and DevOps principles Commercial awareness and the ability to make informed trade offs between cost, performance, and maintainability Nice to have Experience with real time or streaming architectures Exposure to data privacy and regulatory considerations such as GDPR Familiarity with BI and analytics consumption patterns Technology Experience (Desirable) Azure based data platforms such as Synapse, Data Factory, or Fabric Databricks Snowflake Dell Private Cloud or similar on premise or hybrid platforms Certifications (Desirable) Azure certifications such as AZ 305, DP 700, or AI focused exams Snowflake SnowProCore What we are looking for Someone who enjoys solving problems, not just designing systems A pragmatic architect who can balance idealism with delivery reality Strong stakeholder skills and the ability to influence decision making A collaborative mindset, working effectively across multidisciplinary teams Blended Working We operate a blended working model, with colleagues spending at least two days per week in the office, aligned to project team requirements. Occasional travel to client sites may also be required. This balance helps us stay connected, learn from each other, and build strong relationships - both within our team and with the businesses we support. Benefits That Put You First Health & Wellbeing - Enjoy Private Healthcare from day one for you and your household, including dental cover, physiotherapy, mental health support, and access to a range of wellbeing services to keep you feeling your best. Discretionary Bonus - Your hard work won't go unnoticed. When we do well, you'll do well. Generous Pension - We invest in your future with a 10% employer contribution, plus flexible options so you can adjust to your investment preferences. Giving Back - Support causes you care about with our Payroll Giving Scheme and Matched Charitable Giving program. Bike to Work Scheme - Save money, stay active, and enjoy tax savings on a new bike. Family Friendly Policies - We support all paths to parenthood with: Enhanced Maternity Pay - 16 weeks full pay, 10 weeks half pay. Enhanced Paternity Pay - 2 weeks full pay, 2 weeks half pay. Adoption, Surrogacy & Shared Parental Leave. Fertility Treatment Support - Because your family matters. Time to Recharge - 25 days annual leave + bank holidays (and your allowance grows the longer you're with us!). Learning & Development - We invest in you with: Personalised development plans tailored to your goals. Full support for certifications. Access to The Oakland Academy for a suite of learning materials. An annual Personal Learning Budget to upskill in ways that matter to you. Refer & Earn - Know someone great? If they join us, you'll get a referral bonus as a thank you. Diversity, Equity, Inclusion & Belonging at Oakland At Oakland, we believe that diverse perspectives drive better outcomes - or our people, our clients, and our business. Our commitment to DEIB isn't just about policies; it's about creating a workplace where everyone feels heard, valued, and empowered to thrive. We are building a truly inclusive Oakland where you can be yourself - no matter your background, gender, age, race, ethnicity, disability, sexual orientation, or any other characteristic that makes you, you. Fair & Inclusive Hiring - Every interviewer completes recruitment and unconscious bias training, and our hiring process is skills based and structured to ensure fairness and consistency for all candidates. Support Throughout the Interview Process - If you require any reasonable accommodations to make your interview experience more accessible, our Talent team is here to help - just let us know. . click apply for full job details

Salary: £30,000 + 6% bonus + benefits Working location: Milton Keynes (Hybrid working, minimum of 2 office days per week) Employment type: Full-time permanent employment including a 2-year Graduate Programme Closing date: 15th June 2026 Job summary: Shape the Future with Data, AI & Technology. Join NHBC at an exciting point in our digital transformation journey. Our Data & Technology Graduate Scheme is a two year programme designed to give ambitious graduates hands on experience across data, AI, digital development, cloud technologies and cyber security. You'll work on live projects from day one, helping us use data and technology to improve decision making, raise standards in housebuilding and protect homeowners across the UK. Through three six month rotations within our Digital Services team, followed by a dedicated project, you'll develop technical expertise, build strong business relationships and gain exposure to modern technologies, agile delivery and innovation. This is more than a graduate scheme - it's the start of a meaningful career in data and technology, with a guaranteed role at the end of the programme. What you'll be doing: Building dashboards, data pipelines and insight driven tools Supporting AI pilots, automation initiatives and digital innovation projects Developing and testing digital products, tools and system integrations Improving cloud platforms, architecture and business systems Supporting digital governance, security and responsible technology practices Collaborating with teams across the business to turn insight into action Working with technologies such as Salesforce, Snowflake and modern digital platforms What we're looking for: We're looking for curious, analytical and ambitious graduates who are passionate about technology and eager to learn. You'll ideally have: A degree in a STEM, technology, digital, data or analytical discipline Strong problem solving and communication skills An interest in data, AI, analytics or digital technology The ability to work collaboratively in agile environments A proactive mindset and willingness to continuously develop Experience with SQL, analytics tools, cloud technologies, or automation is beneficial but not essential. We welcome applications from graduates at all stages of study, including MSc and PhD candidates. What we offer: A structured two year graduate programme with real responsibility from day one A guaranteed role on successful completion of the programme Industry recognised certifications and tailored learning plans Dedicated mentoring, buddy support and professional development Exposure to cutting edge technologies, AI and modern digital practices Opportunities to build your network and shape the future of digital at NHBC What you'll gain: A guaranteed permanent role at the end of the programme Industry recognised certifications and personalised learning plans Hands on experience with market leading technologies including Salesforce and Snowflake Exposure to agile delivery, APIs, DevSecOps and modern digital practices Dedicated mentoring, buddy support and structured development Opportunities to collaborate across the organisation and build a strong professional network Our benefits package includes: 27 days annual leave + bank holidays Holiday purchase scheme Enhanced pension scheme (up to 10.5%) Life assurance Subsidised private medical insurance Employee discounts platform Two days volunteer leave Enhanced maternity, paternity, adoption leave and pay for all new parents Additional Information: Hybrid working with a minimum of two office days per week (must have access to reliable transportation for travel requirements) Main office location: Milton Keynes Occasional travel to our London office may be required Unfortunately, we are unable to provide visa sponsorship for this role

A leading insurance company in the UK seeks a Senior Data Engineer to enhance its innovative data team. The position offers flexible working options and involves building scalable cloud data platforms. Responsibilities include optimizing data pipelines and collaboration with a diverse group of engineers and architects. Ideal candidates will have strong Python skills and experience with Databricks or Snowflake. The role comes with a comprehensive benefits package including health benefits and generous holiday allowances.

Healthcare systems are struggling; our solution is communication. We have a bold vision: everyone involved in a patient's care - including the patient - should be able to communicate easily with each other. And we believe every NHS staff member should be using our software to make that happen. We want to make healthcare genuinely better. We are solving one of the biggest challenges of our generation, and to do this, we need the best talent possible to help us raise the bar this is where you come in. Our products are used by over 98% of GP practices and half of NHS hospitals, impacting millions of lives. As a Senior Data Engineer, your role will be mission critical. You will be central to shaping the core communication infrastructure of the NHS. You'll directly enable faster, safer, and more accessible patient care by ensuring that the vast flow of communication data is structured, reliable, and ready to power life saving insights and real time decision making. The Unique Challenges You'll Solve This isn't just about executing tasks or managing projects. You'll be: Architecting for the NHS Scale: Designing and scaling a robust data architecture that handles massive event driven communication flows across nearly every GP practice in the UK. Bridging the Gap Between Engineering and Insight: Collaborating deeply with product and data teams to transform raw healthcare communication data into high performance models for analytics and Machine Learning. Building Resilient ELT Ecosystems: Implementing sophisticated ELT practices in a cloud environment where data integrity and security are paramount for patient safety. What We're Looking For: We're looking for a Senior Data Scientist with strong data engineering foundations - someone who enjoys getting hands on with pipelines as much as building models. End-to-End Pipeline Builder Proven experience designing and implementing ingestion and ETL/ELT pipelines from scratch using Python and SQL in production environments. Strong Data Modelling & Warehousing Expertise Deep understanding of modern cloud data platforms (e.g. Snowflake, BigQuery, Redshift) and data transformation tools like DBT, with a focus on creating clean, reliable, and reusable datasets. AI & ML Curiosity Experience (or strong interest) in building and operationalising machine learning models, with an eye toward how strong data foundations enable better AI outcomes. Architectural Ownership Comfortable making and owning decisions around data architecture to support analytics, experimentation, and ML at scale. Product & Impact Mindset You think beyond pipelines - you care about how data drives real world outcomes, especially in a healthcare context. Highly Collaborative Able to work cross functionally with product, engineering, and data teams to shape problems and deliver solutions. Comfortable with Ambiguity Excited by greenfield challenges, undefined problems, and the opportunity to build something meaningful from the ground up. Our Principles in Action Fix healthcare communication: Healthcare systems are struggling; our solution is communication - all of our efforts are centred here. Raise the bar: We have built an exceptional team to solve hard challenges. We hire for expertise and new ideas, maintaining high standards, giving honest feedback, and only delivering work we're proud of. Be a driver, not a passenger: We make things happen, focus on the right problems, and bring the energy to deliver ambitious goals. Succeed together: We succeed only as a team. Our mission is too important for anything less; company success always comes first. Move with urgency: We're on a mission, and every day lost is a missed opportunity to improve lives. We work at pace and focus on our mission, our users, and our impact. Be relentlessly resourceful: We embrace constraints as they force us to think differently, be creative, and focus. Embrace challenge: We value constructive conflict over harmony, having tough conversations for the best outcome. What We Can Offer We believe in supporting our team to do their best work, and thrive both professionally and personally. £85,000 - £105,000 salary + £30,000 share options Access to Happl - a flexible benefits provider with a given budget to spend on perks of your choice. Options include private health insurance, wellness providers and more. Flexible Working: We are an office first culture and ask you are in at least 3 days a week. Enhanced parental leave policy. We have our very own Chef! Free healthy breakfasts, snacks and lunches will be provided, with the occasional sweet treat! And much more.

Job Overview Arm is seeking a Data Engineer to help build and scale the data foundations that support analytics, workflow automation, and AI enabled decision making across the People function. This role offers the opportunity to work at the intersection of data engineering, AI, automation, and business transformation within one of the world's leading technology companies. The successful candidate will help design and build scalable and trusted data pipelines, improve operational workflows, and contribute to the development of intelligent systems that support workforce insights, organisational effectiveness, and employee experience initiatives across Arm. Working closely with stakeholders across the People Group, Data Operations team, Technology teams, and wider business functions, this role will contribute to the development of modern cloud based data and AI capabilities using platforms including Databricks. The role is well suited to someone with strong technical foundations, curiosity, learning agility, and a desire to continue developing engineering capability within a supportive and high impact environment. Responsibilities Design, build, test, and maintain reliable data pipelines, APIs, and integrations across multiple systems and platforms Develop scalable transformation workflows, reusable data products, and curated datasets for analytics, operational reporting, and AI use cases Improve data quality, observability, lineage, and operational monitoring across data workflows Design and implement workflow automations that improve operational efficiency and scalability Collaborate with stakeholders to translate business and technical requirements into practical data and automation solutions Support secure, responsible, and privacy conscious handling of workforce and organisational data Contribute to data modeling, governance, and engineering best practices across the data platform Work closely with analytics, AI focused teams, and the Data Operations team to enable trusted and accessible data products and intelligent workflows Contribute to the ongoing evolution of scalable, AI ready data capabilities across the organisation Required Skills and Experience Experience in data engineering, software engineering, platform engineering, or a related technical area Strong SQL capability and practical experience with Python or another relevant programming language Experience building and maintaining ETL or ELT pipelines in production environments Understanding of data modeling, transformation logic, and data quality practices Experience working with cloud data platforms, modern data warehouses, or distributed processing environments Strong problem solving, communication, and collaboration skillsCuriosity, learning agility, adaptability, and a genuine interest in solving meaningful problems through technology Nice to Have Skills and Experience Experience with modern cloud data platforms such as Databricks, Snowflake, BigQuery, or similar technologies Familiarity with orchestration and workflow tooling such as Airflow or Dagster Exposure to workflow automation technologies or event driven architectures Experience supporting AI, machine learning, or advanced analytics workloads Familiarity with data governance, metadata management, or lineage tooling Experience working in high scale technology or engineering led environments In Return The opportunity to work on meaningful data, AI, and automation challenges within one of the world's leading technology companies Exposure to modern cloud based data and AI platforms, including Databricks The chance to contribute to AI supported workforce and organisational decision making at scale Ongoing mentoring, technical development, and connection to Arm's wider data engineering community A collaborative and supportive environment focused on growth, learning, and continuous improvement Opportunities over time to contribute to broader enterprise engineering initiatives and develop a long term technical career across Arm Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . By sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We're looking for a curious, rigorous, problem hungry platform engineer who codes to help Ashby scale to the next level. Ashby builds software that lets talent teams streamline hiring, and we need an engineer who can build the reliable, secure, and fast infrastructure that supports this growth. We have notable customers such as Notion, Linear, Shopify, and Snowflake. Our ARR is in the tens of millions and we are growing more than 100% year over year with over 2,500 customers. About the Role and How We Work I'm Colin, Head of EMEA Engineering, and I've led engineering teams in startups for many years. Our infrastructure is mission critical and continuously evolving. As a Platform Engineer at Ashby you will own end to end projects, ship code with minimal oversight, and maintain a secure, simple environment for our product team to build in. Responsibilities Optimize our dynamic DSL to SQL compiler and develop tools for developers. Create automated guardrails for the security and privacy of customer data. Help our team ship features fast through canary deploys, gradual rollouts, and feature flags while keeping complexity manageable. Define SLOs with the engineering team and implement corresponding SLIs. Ensure all external services support retries and circuit breakers. Implement the infrastructure needed for an event driven architecture and a data warehouse. Qualifications Strong coding skills and a passion for building engineered solutions. Experience building or maintaining large scale distributed systems. Comfort with SQL, data models, and performance tuning. Proactive self management: ability to deliver projects independently with clear documentation. A mindset that values security, reliability, and high performance. Why You Should or Shouldn't Apply Apply if you enjoy deep problem solving, taking ownership, and writing impact driven code. Apply if you value engineering autonomy, can handle technical risk, and like to work with minimal process interference. Do not apply if you prefer strict top down decision making, dislike coding, or require heavy guidance on delivery. Technology Stack TypeScript (frontend & backend), Node.js, React, Apollo GraphQL. Postgres, Redis. Datadog and Sentry on a 100% cloud based (AWS) infra. Benefits Competitive salary and equity. 10 year exercise window for stock options. Unlimited PTO, encouraged for use. Minimum 12 weeks fully paid parental leave. Generous equipment, software, and office furniture budget. £100 per month education budget. Health insurance fully covered in the US; supplemental health insurance covered outside the US. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

We're looking for a curious, rigorous, problem hungry platform engineer who codes to help Ashby scale to the next level. Ashby builds software that lets talent teams streamline hiring, and we need an engineer who can build the reliable, secure, and fast infrastructure that supports this growth. We have notable customers such as Notion, Linear, Shopify, and Snowflake. Our ARR is in the tens of millions and we are growing more than 100% year over year with over 2,500 customers. About the Role and How We Work I'm Colin, Head of EMEA Engineering, and I've led engineering teams in startups for many years. Our infrastructure is mission critical and continuously evolving. As a Platform Engineer at Ashby you will own end to end projects, ship code with minimal oversight, and maintain a secure, simple environment for our product team to build in. Responsibilities Optimize our dynamic DSL to SQL compiler and develop tools for developers. Create automated guardrails for the security and privacy of customer data. Help our team ship features fast through canary deploys, gradual rollouts, and feature flags while keeping complexity manageable. Define SLOs with the engineering team and implement corresponding SLIs. Ensure all external services support retries and circuit breakers. Implement the infrastructure needed for an event driven architecture and a data warehouse. Qualifications Strong coding skills and a passion for building engineered solutions. Experience building or maintaining large scale distributed systems. Comfort with SQL, data models, and performance tuning. Proactive self management: ability to deliver projects independently with clear documentation. A mindset that values security, reliability, and high performance. Why You Should or Shouldn't Apply Apply if you enjoy deep problem solving, taking ownership, and writing impact driven code. Apply if you value engineering autonomy, can handle technical risk, and like to work with minimal process interference. Do not apply if you prefer strict top down decision making, dislike coding, or require heavy guidance on delivery. Technology Stack TypeScript (frontend & backend), Node.js, React, Apollo GraphQL. Postgres, Redis. Datadog and Sentry on a 100% cloud based (AWS) infra. Benefits Competitive salary and equity. 10 year exercise window for stock options. Unlimited PTO, encouraged for use. Minimum 12 weeks fully paid parental leave. Generous equipment, software, and office furniture budget. £100 per month education budget. Health insurance fully covered in the US; supplemental health insurance covered outside the US. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

We're looking for a curious, rigorous, problem hungry platform engineer who codes to help Ashby scale to the next level. Ashby builds software that lets talent teams streamline hiring, and we need an engineer who can build the reliable, secure, and fast infrastructure that supports this growth. We have notable customers such as Notion, Linear, Shopify, and Snowflake. Our ARR is in the tens of millions and we are growing more than 100% year over year with over 2,500 customers. About the Role and How We Work I'm Colin, Head of EMEA Engineering, and I've led engineering teams in startups for many years. Our infrastructure is mission critical and continuously evolving. As a Platform Engineer at Ashby you will own end to end projects, ship code with minimal oversight, and maintain a secure, simple environment for our product team to build in. Responsibilities Optimize our dynamic DSL to SQL compiler and develop tools for developers. Create automated guardrails for the security and privacy of customer data. Help our team ship features fast through canary deploys, gradual rollouts, and feature flags while keeping complexity manageable. Define SLOs with the engineering team and implement corresponding SLIs. Ensure all external services support retries and circuit breakers. Implement the infrastructure needed for an event driven architecture and a data warehouse. Qualifications Strong coding skills and a passion for building engineered solutions. Experience building or maintaining large scale distributed systems. Comfort with SQL, data models, and performance tuning. Proactive self management: ability to deliver projects independently with clear documentation. A mindset that values security, reliability, and high performance. Why You Should or Shouldn't Apply Apply if you enjoy deep problem solving, taking ownership, and writing impact driven code. Apply if you value engineering autonomy, can handle technical risk, and like to work with minimal process interference. Do not apply if you prefer strict top down decision making, dislike coding, or require heavy guidance on delivery. Technology Stack TypeScript (frontend & backend), Node.js, React, Apollo GraphQL. Postgres, Redis. Datadog and Sentry on a 100% cloud based (AWS) infra. Benefits Competitive salary and equity. 10 year exercise window for stock options. Unlimited PTO, encouraged for use. Minimum 12 weeks fully paid parental leave. Generous equipment, software, and office furniture budget. £100 per month education budget. Health insurance fully covered in the US; supplemental health insurance covered outside the US. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

hackajob is collaborating with Accenture to connect them with exceptional professionals for this role. Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Experience Level: 3+ years Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application. Hybrid Working: This role will require you to work from our Newcastle, Cobalt Business Park office for a minimum of 3 days per week. Role Overview As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You'll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams to automate CI/CD and MLOps processes using Azure DevOps, Kubernetes, and Terraform. Visualize and communicate insights using Power BI, Tableau, and PowerApps. Mentor junior engineers and contribute to internal knowledge sharing. Ensure solutions meet security, compliance, and performance standards. Qualifications Core Data & AI Skills Python, SQL, Spark, Scala Machine Learning, NLP, Deep Learning, Prompt engineering, Agentic AI Data Architecture, Data Modelling, Data Engineering, Data Analysis DevOps & Engineering CI/CD and MLOps (Azure DevOps, GitHub actions, Jenkins, Kubeflow etc) Infrastructure as Code (Terraform, Ansible etc) Containers (Kubernetes, Docker etc) Certifications & Tools Data Visualisation and UI (Power BI, PowerApps, Tableau etc) Data Science Platforms (Databricks, Snowflake etc) Cloud certifications (Azure, AWS, GCP) Cloud Native Data Engineering (Azure Data Factory, AWS Glue, GCP Dataflow etc) Other Requirements At least 3 years experience with large-scale data challenges (big data, distributed systems) Hands on with Infrastructure as Code (Terraform, Ansible) Agile and Waterfall project experience Strong stakeholder management and communication skills Security and compliance awareness Desirable Experience in client facing roles Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer) Experience mentoring or managing teams What's In It For You Competitive basic salary 25 days vacation per year Private medical insurance 3 extra days leave per year for charitable work of your choice Flexibility and mobility required to deliver this role; possible onsite client engagement

Internetwork Expert is looking for a Principal Data Engineer in Greater London. In this hands-on role, you will lead the architecture and design of cloud-native data platforms, focusing on high-impact data solutions. The ideal candidate has strong Python and SQL skills, coupled with deep experience in Spark and modern data platforms like Databricks and Snowflake. You'll work directly with clients to identify problems and shape effective data solutions. Join us if you want to work on interesting, high-impact problems while surrounded by expert engineers.

Principal Data Engineer Who We Are Simple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, Poland and San Francisco. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI. We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle. We don't do generic. We build things that matter - We engineer data to life . The Role This is a hands on principal engineering role, not an architecture only seat and not a support function. You'll be responsible for technical direction, platform design and architectural decision making. You'll design and build greenfield data platforms, real time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high calibre teams and operate close to both the problem and the client. If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane. What You'll Be Doing Lead Platform & Architecture Design Own the end to end architecture of modern, cloud native data platforms Design scalable data ecosystems using data mesh, data products, and data contracts Make high impact architectural decisions across ingestion, storage, processing, and access layers Ensure platforms are secure, compliant, and production grade by design Build Modern Data Platforms Design and deliver cloud native data platforms using Databricks, Snowflake, AWS, and GCP Apply modern architectural patterns: data mesh, data products, and data contracts Integrate deeply with client systems to enable scalable, consumer oriented data access Develop High Performance Pipelines Build and optimise batch and real time pipelines Work with streaming and event driven tech such as Kafka, Flink, Kinesis, Pub/Sub Orchestrate workflows using Airflow, Dataflow, Glue Work at Scale Process and transform large datasets using Spark and Flink Design systems that perform in production - not just on paper Own Data Storage & Performance Work across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB) Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro) Cloud, Security & Governance Implement secure, compliant data solutions with security by design Embed governance without killing developer velocity Consult and Influence Work directly with clients to understand problems and shape solutions Translate business needs into pragmatic engineering decisions Act as a trusted technical advisor, not just an order taker Technical Leadership & Quality Set engineering standards, patterns, and best practices across teams Review designs and code, providing clear technical direction and mentorship Raise the bar on data quality, testing, observability, and operational excellence What We're Looking For Core Engineering Strength Strong Python and SQL Deep experience with Spark and modern data platforms (Databricks / Snowflake) Solid grasp of cloud data services (AWS or GCP) Architecture & Design Judgement Demonstrated ownership of large scale data platform architectures Strong data modelling skills and architectural decision making ability Comfortable balancing trade offs between performance, cost, and complexity Data Platform Experience Built and operated large scale data pipelines in production Strong data modelling capability and architectural judgement Comfortable with multiple storage technologies and formats Engineering Discipline Infrastructure as code experience (Terraform, Pulumi) CI/CD pipelines using tools like GitHub Actions, ArgoCD Data testing and quality frameworks (dbt, Great Expectations, Soda) Delivery & Consulting Mindset Experience in consulting or professional services environments Strong consulting instincts - able to challenge assumptions and guide clients toward better outcomes Comfortable mentoring senior engineers and influencing technical culture Why Simple Machines You'll work on interesting, high impact problems You'll build modern platforms, not maintain legacy mess You'll be surrounded by senior engineers who actually know their craft You'll have autonomy, influence, and room to grow If you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.

About us: ace is a specialist post-digital advisory and delivery partner helping financial institutions implement high-impact automation, AI and post-digital solutions in regulated environments. We combine deep technical expertise with a practical understanding of governance, controls and operational risk to deliver production-grade outcomes at pace. We are part of the G MASS Group, a global consultancy specialising in resource augmentation, change and transformation and technology advisory within financial services. Role Overview: ace has partnered with a leading UK asset management firm and requires an ambitious Graduate Data Scientist who will support a high-impact data and technology advisory engagement. You will work alongside senior ace advisors, engaging directly with stakeholders, contributing to discovery sessions, current-state analysis, architecture mapping and board-level deliverables. We are looking for a data scientist equally comfortable working with databases and cloud data platforms as communicating strategy and recommendations to senior stakeholders. The successful candidate will bring strong technical foundations, particularly around data structures, SQL, and ideally Snowflake, alongside genuine consultative instincts, an understanding of how change management works in practice, and the professional presence to operate effectively in a regulated financial services environment. Immediate availability is essential. The initial engagement is a 12-week fixed-term contract with strong potential to convert to a permanent option depending on performance. Key Responsibilities: Support current-state discovery: document existing data processes, systems, and architecture Map data flows, vendor relationships and dependencies across the client technology estate Track and contextualise in-flight technology projects and migration activity Assist in the creation of current and future state architecture diagrams Analyse cloud data warehouse structures, schemas and migration requirements Support the design and documentation of API connections for third party data access Explore and document AI capability options within the cloud data platform Contribute to technology strategy documents, recommendations summaries and executive presentations Conduct and support stakeholder interviews, workshops and working sessions Communicate technical findings and strategic recommendations clearly to both technical and non technical audiences Qualifications: Degree in Computer Science, Mathematics, Data Science, Statistics or a related quantitative discipline Strong SQL proficiency is essential for querying, analysing, and documenting data structures Solid understanding of database design principles, data modelling and relational schemas Experience with or strong working knowledge of Snowflake Ability to read, interpret and contribute to architecture and data flow diagrams Demonstrable consultative experience: an understanding of how change management works in practice, and the ability to define strategy, gather requirements, and translate technical findings into recommendations Strong stakeholder communication skills: confident engaging senior audiences; this is not a desk based technical role Excellent written communication skills; capable of producing clear, structured, professional outputs Proactive and self motivated, comfortable operating with some ambiguity in a fast moving engagement Nice to have: Prior internship, placement, or work experience in financial services or professional services / consulting Exposure to API design, consumption, or integration (REST, JSON, data feeds) Experience with data visualisation tools (e.g. Tableau, Power BI, or equivalent) Knowledge of cloud platforms (Azure, AWS, or GCP) and modern data infrastructure patterns Familiarity with AI/ML concepts and their application to enterprise data environments Salary & Benefits: Salary £30,000 - £35,000 depending on experience Initial 12-week contract with strong potential to convert to permanent depending on performance Full time, five days a week in our London office Immediate start Direct mentorship from ace's CEO and senior advisors Rapid exposure to executive level stakeholder engagement in a regulated financial services environment Being a part of the growth of the first post digital advisory firm focused on Financial Services