40 jobs found

Akkodis is partnering with a reputable client in Finance and they are looking for a Data Engineer with strong Databricks experience to expand their IT Team. They are currently improving their CX transformation programme and making changes to their institutional reporting suite. Job title: Data Engineer - Data BricksSTART :ASAPLocation: Liverpool Street - 3 days a eek (NON Negotiable), the rest WFHDuration: 3 months rolling contractType of contract : Freelance, Inside IR35Level: mid-Senior Duties and Tasks: Develop and optimize data pipelines using Databricks and Spark.Design and implement data models and ETL processes in Snowflake.Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.Ensure data quality, integrity, and security across platforms.Monitor and troubleshoot data workflows and performance issues. Requirements: Proven experience with Databricks and Snowflake.Strong proficiency in SQL and Python.Extract Load Transform procedures, Data Lineage & Analysis.Familiarity with cloud platforms (e.g., Azure, AWS, or GCP).Experience with CI/CD and version control tools (e.g., Git).Excellent problem-solving and communication skills. Nice to have: Financial data knowledge on funds, securities, positions, trades and background in Asset Management. This opportunity is for a 3 months rolling contract (with possibilty to extend) and it is inside IR35. Apply with your CV for immediate consideration. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

You will join a successful international insurance company who specialise in commercial insurance and reinsurance products. My client is looking for an experienced Senior Data Engineer to play a pivotal role in designing and implementing next-generation data warehousing solutions, with a focus on Snowflake and AWS technologies. This is a fantastic opportunity to shape the future of data architecture and drive innovation in a dynamic, collaborative environment. Main Responsibilities: Lead the modernisation journey to Snowflake-based data warehousing solutions within an AWS environment. Design and implement scalable, secure, and cost-efficient data solutions using AWS services such as Glue, Lambda, S3, Redshift, and Step Functions. Develop robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Drive automation and CI/CD practices for data workflows, ensuring reliable deployment and monitoring. Mentor and support team members through code reviews, pair programming, and knowledge sharing. Collaborate with stakeholders, product owners, and developers to ensure alignment between requirements and data solutions. Benefits: Hybrid working (approximately 2 days a week in the office) Salary up to £100,000 + 15% bonus 25 days annual leave + bank holidays + option to buy and sell 10% employee pension contribution Life Assurance, plus much more Requirements: Strong leadership and communication skills as you will be working closely and presenting to senior stakeholders, along with leading and mentoring teams Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience with AWS services (e.g., EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway) Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong leadership, communication, and collaboration skills For more information and immediate review, please apply now! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Contract Data Engineer £450-£480/day Outside IR35 6 Months Hybrid (London) A leading infrastructure investment firm is rebuilding its data platform from the ground up, starting with a greenfield Snowflake data warehouse on Azure. Backed by strong C-suite support, this is a unique opportunity to help shape a major transformation from day one. You'll work alongside the Lead Data Engineer to evolve the back-end stack in line with business needs, modern engineering standards, and architectural best practices. THE ROLE: As Data Engineer, you will: Support the Lead Data Engineer in driving development of the back-end stack. Own key elements of the Snowflake data warehouse build (greenfield project). Work closely with a consultant architect to implement a scalable, secure data platform. Engage with senior business stakeholders including COO, CFO, and Head of FP&A. Design robust ingestion pipelines, transformation logic, and QA frameworks. Potentially manage and mentor a junior engineer over time. Document architecture and development workflows. YOUR SKILLS AND EXPERIENCE: You'll need: Strong hands-on experience with Snowflake, SQL, and Python. Version control and collaboration using Git. Proven background in data modelling and architecture design. Nice to have: Experience with Azure services (e.g., App registration, Storage Accounts). Familiarity with Terraform (especially Snowflake provider), DBT, Power Automate, and CI/CD pipelines (Azure DevOps or others). Experience working on greenfield builds. Asset management experience.

Job Title: Manager - Cloud Data Architect (AWS & Snowflake) Protiviti's UK ED&A practice offers a comprehensive range of data use cases delivered through various delivery and commercial routes. We work on the full data lifecycle with highly skilled and experienced data professionals. Our solutions range from data strategy and governance through the development, design and implementation of advanced analytics and digitisation. About the Role We are seeking a Manager-level Cloud Data Architect with deep expertise in AWS cloud services , Snowflake , and AWS-native data platforms to lead the design and implementation of scalable, secure, and high-performance data solutions. You will play a pivotal role in shaping our cloud data strategy, driving innovation, and mentoring teams to deliver enterprise-grade data architectures that enable advanced analytics and business intelligence for our clients. Key Responsibilities Architecture & Design Design end-to-end cloud data architectures using AWS and Snowflake, ensuring scalability, security, and performance. Define and promote best practices in data modeling, ETL/ELT processes, data storage, and data governance across AWS and Snowflake platforms. Lead the design of data lakes, data warehouses, and real-time data pipelines using AWS-native tools such as Glue, Redshift, S3, Lambda, Kinesis, and Athena. Project Leadership & Delivery Manage and deliver complex data architecture projects, providing technical leadership to cross-functional teams. Collaborate with business stakeholders, data engineers, and analysts to understand data needs and translate them into architectural solutions. Ensure architecture aligns with enterprise standards, security protocols, and compliance requirements. Team & Stakeholder Management Mentor and guide data engineers and junior architects on AWS and Snowflake best practices. Work closely with cloud operations, DevOps, and security teams to ensure reliable and secure data environments. Present architectural solutions and roadmaps to senior stakeholders and technical leadership. Innovation & Strategy Stay current with emerging trends in cloud data services, AI/ML integrations, and data governance. Contribute to the cloud data strategy and roadmap, identifying opportunities for automation, cost optimization, and innovation. Required Qualifications 6-10 years of experience in data architecture, including at least 3 years in a cloud-native environment. Proven expertise with AWS cloud services , including but not limited to: S3, Glue, Redshift, Lambda, Kinesis, Athena, Lake Formation. Strong hands-on experience with Snowflake - architecture, performance tuning, security, and data sharing features. Proficient in data modelling, data integration (ETL/ELT), and metadata management. Deep understanding of data governance, data security, and compliance in cloud environments. Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) is a plus. Strong communication and stakeholder management skills. Prior Consulting experience Preferred Qualifications AWS certifications (e.g., AWS Certified Data Analytics - Specialty, Solutions Architect). Snowflake certifications. Experience in leading agile teams or projects using Scrum/Kanban methodologies. Familiarity with modern data stack tools (e.g., dbt, Airflow, Fivetran) is a plus. Why Join Us? Be part of a high-impact team shaping the next generation of data capabilities in the cloud. Work with cutting-edge technology in a collaborative, innovation-driven environment. Opportunity to lead strategic data initiatives and make a tangible business impact. Competetive Base Salary, Bonus & Benefits Hybrid Working - HQ in The Shard, London! Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: gb/en/privacy-notice.

Senior Data Engineer Opportunity: Permanent Salary: Competitive Hybrid: 2 days per week onsite Office Location: Central London Our client, a UK-based fintech operating an AI-powered intelligent commerce platform, is seeking a Senior Data Engineer to build and maintain the data infrastructure that drives AI-enabled decision-making across their global operations. You'll design the data systems that underpin both strategic business intelligence and advanced AI capabilities. Key Responsibilities Design and build data warehouse solutions that support business objectives with optimal performance Develop, implement, and maintain robust ELT pipelines consuming data from internal systems and external partners Partner with business stakeholders and customers to unlock data insights and build impactful analytical models Investigate and resolve system defects, respond to production incidents, and conduct thorough code reviews Provide technical leadership by staying current with emerging technologies and mentoring team members Technical Skills Strong expertise in SQL and database architecture Practical experience with data warehousing platforms (Snowflake, PostgreSQL, MySQL) Solid Python programming capabilities for data engineering workflows Proven track record designing and maintaining production-grade ELT/ETL solutions Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.

Senior Analytics Engineer Location: London (Hybrid - 1 day per month) Team: Data & Analytics About the Role: We're looking for a Senior Analytics Engineer who combines strong technical expertise with business awareness and a passion for clean, scalable data. In this role, you'll design and maintain robust data models, support data infrastructure, and work closely with stakeholders to deliver trusted, self-serve analytics solutions. You'll take ownership of how data is modelled and shared across the business, enabling insight and supporting strategic decisions. This role is ideal for someone who thrives in fast-paced, evolving environments and wants to have a lasting impact on data culture and capability. You'll be based in London , with an expectation to work from the office once a week . Requirements: Proven experience as an Analytics Engineer or in a similar data engineering/BI role Advanced SQL skills with hands-on experience using dbt for data modeling Strong familiarity with modern data platforms like Snowflake, Looker, AWS/GCP, Tableau, or Airflow Experience with version control tools (e.g., Git) Ability to design, build, and document scalable, reliable data models Comfortable gathering business requirements and translating them into data architecture Strong problem-solving skills and attention to detail Clear communicator with the ability to support non-technical users and promote self-serve analytics What Will Make You Stand Out: Exposure to Python for analytics engineering or automation tasks Background in the insurance or financial services sector (a plus, not essential) A commercial mindset-you understand how data supports business goals and can design solutions with impact in mind Curiosity and initiative around using AI tools to streamline workflows, increase productivity, or enhance analysis Passion for improving processes and evolving best practices across data team The client is looking to move quickly, if you would like to follow up on your application please email or message me on LinkedIn.

Senior Data Platform Engineer Hybrid London (3 days per week) Up to £95,000 + Benefits Are you an experienced Data Engineer ready to take ownership of a cutting-edge cloud data platform? We're partnering with a high-growth fintech company that's transforming how analytics powers decision-making - and they're looking for a Senior Data Platform Engineer to help design, scale, and optimise their AWS and Snowflake-based infrastructure. Why this role? Join one of the UK's fastest-growing fintechs, where data is at the heart of every decision. Work with a modern stack - AWS, Snowflake, Python, Terraform, CI/CD, and Fivetran . Shape the future of a scalable, secure, and cost-efficient data platform used across the business. Hybrid working: 3 days a week in the London office , combining collaboration with flexibility. ? What you'll be doing: Designing, building, and evolving data infrastructure across AWS and Snowflake. Developing tooling and automation to improve analytics efficiency. Onboarding new data sources and ensuring smooth, reliable ingestion and processing. Implementing monitoring, testing, and observability to guarantee platform robustness. Driving improvements in CI/CD pipelines for faster, more reliable deployments. Managing infrastructure as code with Terraform , ensuring security and compliance. Collaborating with analysts, engineers, and business teams to turn data into action. Troubleshooting production issues and continuously improving performance and cost efficiency. ? What we're looking for: Strong software engineering background - ideally with Python or similar languages. Proven experience working with AWS and Snowflake in production environments. Solid grasp of data engineering best practices - testing, deployment, and configuration as code. Experience developing containerised services and cloud-based data applications. Proficiency in Terraform or other IaC tools. Familiarity with CI/CD pipelines (GitHub Actions preferred). Excellent communicator - able to work closely with technical and business stakeholders. ? Nice-to-haves: Experience with Kubernetes , Airflow/Prefect , or data observability tools (Monte Carlo, Great Expectations). Exposure to data cataloguing tools (Amundsen, OpenMetadata). Package & Benefits: Salary up to £95,000 , depending on experience. Hybrid working - 3 days per week in the London office .

Data Engineer £500 - £560 per day London - 1 day per week in office We're working with a leading global healthcare technology company who are building out their next-generation data platform, with a strong emphasis on automation, testing, and cloud-native engineering, and are looking for an experienced Data Engineer to join their team. The Role You'll be part of a modern data engineering function that's implementing best-in-class data practices across ingestion, transformation, and orchestration layers. The environment is highly technical, collaborative, and fast-paced, giving you the opportunity to work across a wide variety of data sources and tools. Day-to-day responsibilities include: Designing and developing DBT models and Airflow pipelines within a modern data stack. Building robust data ingestion pipelines across multiple sources - including external partners, internal platforms, and APIs. Implementing automated testing and CI/CD pipelines for data workflows. Performing data extraction and enrichment, including web scraping and parsing of unstructured text (e.g., scanned forms and documents). Collaborating on forecasting and predictive analytics initiatives. Bringing modern engineering practices, testing frameworks, and design patterns to the wider data function. Tech Stack & Skills Core skills: Strong experience with DBT, Airflow, Snowflake, and Python Proven background in automated testing, CI/CD, and test-driven development Experience building and maintaining data pipelines and APIs in production environments Nice to have: Knowledge of Snowflake infrastructure and data architecture design Experience using LLMs or MLOps frameworks for data extraction or model training Familiarity with cloud-agnostic deployments and version control best practices What You'll Bring A proactive, hands-on approach to engineering challenges A passion for data quality, scalability, and performance The ability to influence best practices and introduce modern standards across a data estate Strong problem-solving skills and the confidence to work across multiple complex data sources Why Join? This is an opportunity to help shape the data foundations of a high-impact healthcare technology business - one that's actively exploring the intersection of data engineering, MLOps, and AI. You'll have ownership of end-to-end data workflows, work with a world-class tech stack, and join a forward-thinking team that values automation, collaboration, and innovation.

Senior Data Engineer - York - Hybrid/RemoteSenior Data Engineer - Data Warehouse / Microsoft FabricRoc Search are currently recruiting for Senior Data Engineer to join an expanding company based in York.They have a continuous programme of growth at the moment surrounding Data Warehouse that you will be working on. Day to day you will be working with 3rd parties in the business, as well as other stakeholders responsible for making certain decisions surrounding data engineering. You may also have to deputise for the data engineering manager from time to time.This is a really great time to join as they are investing largely into their IT systems at the moment and rapidly expanding, so there is plenty opportunity to develop and utilise your skills and career with them.They are happy for you to work predominantly remote, coming into the office once every 4-6 weeks.Essential skills include experience with: Data Warehousing At least one of the following: Microsoft Fabric, Synapse, Snowflake or AWS Python SQL Advantageous skills include experience with: Power BI Microsoft Fabric Leadership European language skills This is an excellent opportunity for the successful applicant to gain exposure to a company with great rewards and career progression, with continual professional development and training.Apply now for immediate consideration.As a professional company we gladly welcome applications from persons of any age and background and do not intend to discriminate with advert text and terminology.

SENIOR ANALYTICS ENGINEER UP TO £80,000 + BENEFITS PRIMARILY REMOTE Looking to take ownership of scalable data models, shape a brand-new analytics function, and work with the modern data stack from day one? THE COMPANY: I'm working with a fast-scaling, tech-driven organisation that's investing heavily in its data capabilities. As part of a wider data transformation, they're building out a dedicated Analytics Engineering team focused on creating scalable, trusted data infrastructure. With strong support from BI, Data Science, and Engineering teams, this function is central to how the business defines and uses data going forward. THE ROLE: You'll help lay the foundations of the analytics engineering practice-owning your area of the data model, improving data quality, and shaping how data is delivered across the business. Reporting to a highly experienced team lead, you'll work closely with stakeholders across Product, Engineering, and Commercial. Design and build reusable, high-performance data models using dbt Translate business logic into well-documented sources of truth Contribute to data quality checks, testing, and CI/CD best practices Partner with cross-functional teams to deliver scalable analytics solutions Help shape architectural decisions and improve data model governance YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will bring: Strong SQL skills and hands-on experience with dbt (or similar tools) Experience designing as well as building data models Exposure to Snowflake and/or data pipeline tools Understanding of testing, CI/CD, and data quality frameworks THE BENEFITS: You will receive a salary dependent on experience-up to £80,000. On top of that, there's a generous benefits package and plenty of opportunity to grow as the team scales. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Senior Software Engineer / Developer (Data) London / WFH to £115k Global-leading FinTech is seeking a Senior Software Engineer to take ownership of a new team responsible for data focussed strategic enhancements on their core platform. The organisation is a pioneer in the field of cross-asset securities and derivatives post-trade processing technology and have created ground-breaking, adaptable software that produces secure and scalable solutions for peak operational efficiency and optimum business performance for their clients. This is a great opportunity to accelerate your career alongside established business and technology leaders and deepen your finance experience. As a Senior Software Engineer, you'll work on strategic initiatives to develop integration and data migration strategies and tools to allow highly automated migration or integration between the PTP (Post Trade Processing) platform and legacy internal and external systems. You'll be working on Greenfield systems, using a range of technology, you will be granted a great deal of autonomy across the full development lifecycle, influencing key technical decisions and will have the opportunity to grow the team and move into a leadership role if desired. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You're a data centric, Senior Software Engineer with a strong knowledge of modern software engineering best practices You have strong development experience with C#, C++ or Python You have advanced SQL database knowledge (they use Oracle), experience with data transformation technologies such as Databricks or Snowflake and data streaming technologies such as Kafka You have a good understanding of financial markets and the trade lifecycle You're keen to take ownership and enjoy working proactively with minimal supervision You have excellent collaboration and stakeholder management skills You're degree educated in a STEM discipline What's in it for you: As a Senior Software Engineer / Developer (Data) you will receive a competitive package: Salary to £115k Pension (to 9% contribution) Healthcare Volunteer / charity days Hybrid working Career development and training Apply now to find out more about this Senior Software Engineer / Developer (Data) 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.

City & Capital are currently working with one of the UK's most dynamic and fast-growing specialist property finance lenders who are renowned for their innovation and tailored products to suit the needs of a broad range of professional borrowers, such as property developers and investors. Our client currently offers a range of property-backed loans to cover bridging finance, development exits, commercial mortgages and buy to let. Due to success to date, the lender has now doubled the size of their UK loan book and team 6 times in the last 6 years, with plans to achieve this for a 7th time across the coming period. Due to these increasing levels of high activity, they are generating more and more customer and performance data than ever before and are embarking on a key project to best manage & utilise this. An agile and robust data management and utilisation plan will be key to the attainment of this. Our client is therefore seeking an individual who will play an integral role in building & maintaining the businesses core data infrastructure & to deliver on the demands as outlined below. You will work closely with the lenders Chief Mortgage Officer & Senior Data Lead within the role. This is also a role that comes with plenty of progression potential for those that are successful in the role. About the Role As a Data Engineer, you will play a key role in building and maintaining the business's core data infrastructure. Working closely with the Chief Mortgage Officer, Senior Data Lead and Market Analysts you will enable scalable reporting, clean data flows, and analytics-ready datasets that underpin everything from product development and underwriting to compliance and performance tracking. You'll take ownership of automated data pipelines, cloud infrastructure within Microsoft Fabric, and integrations with platforms like Salesforce and core lending systems. Your work will be vital to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You'll demonstrate a strong focus on data quality and governance and be adept at integrating third-party APIs and transforming raw data into analytics-ready assets. Prior experience in financial services or lending is preferred, and the ability to communicate data requirements clearly across business teams will be key to success in this role. You'll be a technically strong data professional with hands-on experience in pipeline development, cloud-based data infrastructure, and performance optimisation. You will be at your best when working collaboratively in fast-paced environments and when translating complex business needs into structured, reliable data systems. On?Offer Our client is ideally looking to pay between £50k - £705as a basic salary for the ideal individual, relevant to experience. Higher offers may also be considered for exceptional talent and potential. Salary will be complemented by a favourable bonus scheme too, that will significantly enhance annual earnings. Most notably, due to our clients continued growth & strong and proven promote from within policy, this is also a role that comes with plenty of progression potential, where excellent performance is delivered. In turn, this could see you propel both career standing & salary within, as you make a real impact on the role and business. The?role?will?be?based?in?our?clients?Mayfair?offices,?offering?a?collaborative?and?fast paced working environment. There is a reasonable amount of urgency to fill this position as you might expect, for the reasons outlined. We do not expect this role to be on the market for long! Therefore, if this role does sound like one that you are both qualified for and interested in then we look forward to your application as soon as possible. We do not expect this role to be on the market for long! We will aim to review your application as soon as possible and get back to you with an update following. We look forward to hearing from you. Kind Regards, The City and Capital Team

SENIOR ANALYTICS ENGINEER UP TO £85,000 + BENEFITS PRIMARILY REMOTE Looking to take ownership of scalable data models, shape a brand-new analytics function, and work with the modern data stack from day one? THE COMPANY: I'm working with a fast-scaling, tech-driven organisation that's investing heavily in its data capabilities. As part of a wider data transformation, they're building out a dedicated Analytics Engineering team focused on creating scalable, trusted data infrastructure. With strong support from BI, Data Science, and Engineering teams, this function is central to how the business defines and uses data going forward. THE ROLE: You'll help lay the foundations of the analytics engineering practice-owning your area of the data model, improving data quality, and shaping how data is delivered across the business. Reporting to a highly experienced team lead, you'll work closely with stakeholders across Product, Engineering, and Commercial. Design and build reusable, high-performance data models using dbt Translate business logic into well-documented sources of truth Contribute to data quality checks, testing, and CI/CD best practices Partner with cross-functional teams to deliver scalable analytics solutions Help shape architectural decisions and improve data model governance YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will bring: Strong SQL skills and hands-on experience with dbt (or similar tools) Experience designing as well as building data models Exposure to Snowflake and/or data pipeline tools Understanding of testing, CI/CD, and data quality frameworks THE BENEFITS: You will receive a salary dependent on experience-up to £85,000. On top of that, there's a generous benefits package and plenty of opportunity to grow as the team scales. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Fully Remote Up to £120k Base + Bonus + Stock Options We're partnered with a high-growth FinTech scale-up at the forefront of building next-generation market surveillance and risk monitoring technology . Backed by leading investors and trusted by global financial institutions, regulators, and crypto-native firms, they process trillions of market events daily to protect investors, detect manipulation, and ensure integrity across both traditional finance and digital asset markets . As a Senior Software Engineer , you'll play a key role in designing and scaling advanced systems and algorithms that safeguard some of the most dynamic and complex markets in the world. This is a chance to build high-performance, low-latency, and cloud-native systems while tackling challenges in fraud detection, data engineering, and market integrity . What you'll do Design, implement, and optimise algorithms for detecting manipulation, fraud, and compliance breaches in real-time and batch data. Build and scale high-volume data pipelines handling billions of daily events across distributed systems. Work with cutting-edge tech including Java, Kafka, Spark, Kubernetes, Clickhouse, Snowflake, Redis . Collaborate with quants, data scientists, and compliance experts to improve surveillance strategies. Contribute to system architecture for low-latency monitoring and high-throughput processing . Continuously improve data quality, reliability, and query optimisation at scale. ? What we're looking for 5+ years' experience in software engineering , ideally in financial markets, market surveillance, or large-scale data systems . Strong skills in Java (or similar: Kotlin, C#, C++) ; Python is a plus. Proven experience with real-time, low-latency systems and distributed data pipelines . Hands-on with Kafka, Spark, K8s, Clickhouse, Snowflake, and modern data architectures . Solid foundations in algorithms, system design, and optimisation . Curious, proactive, and comfortable working in a fast-moving, scaling environment. Why apply? Fully remote role with global reach . Up to £120k base + bonus + stock options . Build mission-critical systems at the intersection of finance, crypto, and AI/ML-driven surveillance . Work alongside world-class engineers, quants, and technologists shaping the future of market integrity. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Tableau Developer Hybrid Working - London - 1-2 days a week on site. Financial Services Lorien's leading banking client is looking for a Tableau Developer to join the expanding team on a long-term project. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 1-2 days a week on site. Key Skills and Experience You'll be leading and coaching colleagues to plan and deliver strategic agreed project and scrum outcomes. You'll drive the use of advanced analytics in your team to develop business solutions which meet the needs of our stakeholders and increase the understanding of our business, including its customers, processes, channels and products. As well as this, you'll be: Working closely with business stakeholders to define detailed, often complex and ambiguous business questions, problems or opportunities Planning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challenges Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics Developing strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs The Skills You'll Need We're looking for a capable leader with a passion for data and analytics, and experience of coaching and supporting their colleagues to succeed. Along with advanced analytics knowledge, you'll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling?. Requires 3-5 years (at least) experience in: Tableau SQL Excel Snowflake Excellent stakeholder management and requirement gathering skills - they need to be able to drive meaningful requirements through proactive challenge of business Excellent communication skills and be able to present to senior manager level stakeholders Knowledge of data architecture, key tooling and relevant coding languages ? Strong knowledge of data management practices and principles? Experience of translating data and insights for key stakeholders ? Good knowledge of data engineering, data science and decisioning disciplines ? Strong communication skills with the ability to engage with a wide range of stakeholders IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Tableau Developer required by a large, established UK organisation to join its Data & Insight team on a six-month fixed-term contract. This role will be instrumental in supporting a major data platform upgrade and helping to modernise analytics and AI capabilities. You'll take the lead on rebuilding and improving business-critical dashboards, enabling commercial teams to make confident, data-driven decisions. Our client offers a hybrid working environment with 2-3 days a week onsite with flexibility. You'll report into a senior manager within the analytics team and work at pace to deliver high-quality, user-friendly dashboards. You'll also have the opportunity to support smaller projects across the wider business. Key Responsibilities Recreate and enhance business-critical dashboards in Tableau (or similar BI tools), ensuring accuracy and usability. Partner with stakeholders to understand requirements and translate them into clear, actionable dashboards. Collaborate with data engineers to ensure data pipelines and models meet reporting needs. Work within a multi-disciplinary project team to help deliver the wider transformation programme. Support the management and optimisation of the organisation's BI platform. Provide ad-hoc support on other analytics initiatives within the team. What We're Looking For Proven BI expertise with a track record of designing high-quality, insightful dashboards (Tableau experience preferred). Strong SQL skills for querying, validating and shaping data. Experience working end-to-end on analytics projects: from requirements gathering through to design, build, testing and support. Excellent communication skills, able to work effectively with both technical and non-technical colleagues. Highly organised, able to prioritise tasks and meet tight deadlines. Comfortable working autonomously while contributing as part of a multi-disciplinary team. Desirable: Awareness of UX principles and best practices in dashboard design. Experience with cloud data platforms (e.g. Databricks, Snowflake). A degree in a numerate discipline. What's on Offer A 10% annual bonus 25 days' paid holiday plus the option to buy additional days, with extra days awarded for long service. A generous pension plan with enhanced employer contributions. Health and wellbeing benefits including a healthcare cash plan, employee assistance programme, wellbeing platform and a gym benefit. Enhanced family leave provisions. Additional perks including an employee share save scheme, life assurance, discounts portal and more.

Technical Data Lead Central London Up to 150,000+ Benefits My client is seeking a Technical Data Lead to spearhead the architecture, implementation, and evolution of a modern data platform for a leading insurance firm in London. This role requires a strong technical background in integration and data architectures, as well as leadership experience managing both technical teams and client relationships. Key Skills & Experience: Proven experience as a Platform Technical Lead, Data Architect, or similar role, leading enterprise data platforms at scale. Strong technical expertise in Azure, AWS, Snowflake, Databricks, Data Lakes, and Kafka. Deep understanding of modern data platform architectures, including Lakehouse, Kappa, and Lambda. Experience designing and managing secure, scalable, and governed data platforms. Strong knowledge of Data Governance frameworks, access control, and compliance in enterprise environments. Experience with end-to-end data integration patterns and enterprise-grade data modeling. Knowledge of Data Fabric and Data Mesh concepts, with practical experience in their implementation. Strong understanding of Software Development Lifecycle (SDLC) principles in a data platform context. Expertise in observability, monitoring, and security for data platforms. Strong experience in DevOps, automation, CI/CD, and Infrastructure-as-Code (IaC). Proven track record of leading large technical teams and driving complex data platform initiatives. Excellent stakeholder management skills, with the ability to translate technical solutions into business value. Ideal Candidate Profile: 10+ years in data with experience in a senior architecture or technical leadership role. Strong, practical experience with modern software engineering and DevOps Exceptional communication and senior stakeholder management skills. Industry experience in the Financial Services or Insurance sector is essential A strong leader who inspires excellence and innovation within the team. Ideally experience working at a Consultancy. To be considered please send your cv to Peter Bibby on the email address below

Snowflake Data Modeller Location: Remote (Mostly remote with some occasional travel to Hemel Hempstead) Contract: Outside IR35 Day rate: Up to £550 per day Duration: 6 months Start date: ASAP Key skills: Snowflake, DBT, SQL, Python, AWS and Kimball The Client who are in the process of migrating to SnowFlake therefore require extra support. As a result, they require someone from a strong SQL & Python development background with excellent working knowledge of Data Build Tool (DBT). You will be undertaking aspects of the development life cycle and be experienced in data modelling, process design, development, and testing. And whilst this company is going through a large-scale migration, this will present you with an opportunity to be at the cutting edge of data engineering. YOUR SKILLS AND EXPERIENCE A successful Senior Data Engineer here will have experience in the following: - Advanced SQL knowledge - SnowFlake (ideally certified) - Python development - AWS cloud experience essential, relating to data tooling and development - Working knowledge of Data Build Tool (DBT). o Develop staging, intermediate and marts in DBT to achieve analytics requirements o Optimize existing models to make it more reusable by following DBT best practices o Spot opportunities for the models to be incremental over full refresh o Organize sources and document sources in DBT o Develop DBT macros for most frequently repeated tasks - Knowledge of Continuous Integration and Continuous Deployment (CI/CD) - Development experience in one or more object-oriented programming languages (eg Python) - Ability to work with senior stakeholders across multiple verticals