Automation Tester (SDET) – Azure Data Platform Contract: 3–6 Months (Initial) IR35: Outside IR35 Location: Hybrid – London (2–3 days per week on-site) Start: ASAP A major UK public body within the financial regulation and consumer protection space is seeking an experienced Automation Tester (SDET) to support a large-scale Azure data platform transformation. This role plays a key part in improving data quality, enhancing analytical capabilities, and supporting fair outcomes for consumers across the UK. Key Responsibilities<ul><li>Design and execute automated and manual tests for ETL processes, data transformations, and end-to-end data pipelines.</li><li>Validate database migrations across heterogeneous systems, ensuring data accuracy, consistency, and lineage integrity.</li><li>Perform hands-on testing across Azure Data Factory, including pipelines, triggers, data flows, and ingestion processes.</li><li>Support test activity within Azure Synapse Analytics, ensuring quality across data warehousing and analytics layers.</li><li>Write, optimise, and troubleshoot advanced SQL queries for data validation and reconciliation.</li><li>Conduct data validation and interrogation using Cosmos DB (DocumentDB).</li><li>Work collaboratively with engineers, architects, business analysts, and project leads to ensure timely delivery.</li><li>Contribute to overall testing strategy, reporting, and automation improvements within the data platform team.</li></ul>Key Skills & Experience Essential: <ul><li>Strong background in ETL testing, data validation, and data quality assurance.</li><li>Solid experience with Azure Data Factory (pipelines, triggers, flows).</li><li>Familiarity with Azure Synapse Analytics and modern data warehousing approaches.</li><li>Proven ability to write and troubleshoot complex SQL queries.</li><li>Experience with Cosmos DB / DocumentDB.</li><li>Excellent communication skills and experience working in cross-functional delivery environments.</li><li>Demonstrated success in testing data platforms, migrations, or large-scale transformation initiatives.</li></ul>Desirable: <ul><li>Exposure to Azure Databricks, Data Lake, or Azure SQL.</li><li>Automation scripting experience (Python, C#, or Java).</li><li>Experience with CI/CD pipelines (Azure DevOps).</li></ul>Why This Opportunity?<ul><li>Work on a high-impact programme within a respected organisation serving the UK financial sector.</li><li>Outside IR35 contract with strong extension potential.</li><li>Opportunity to influence and improve a critical data platform used for decision-making and consumer outcomes.</li><li>Hybrid working with a collaborative and supportive environment.</li></ul>

SDET

Data Scientist – Football London (Hybrid) | Up to £100k Bonus Benefits | No Sponsorship About Us We are a growing sports data consultancy expanding our data science function. We specialise in transforming raw sporting data into clear, actionable insights that help clubs, organisations, and partners make smarter, evidence-based decisions. This role focuses on football, delivering innovative data-driven solutions that support performance analysis, recruitment, and strategic decision-making. Our team combines technical excellence with deep sporting insight, ensuring that what we build is rigorous, practical, and impactful. We’re now looking for talented individuals who want to push the boundaries of how data can shape the future of football. Key Responsibilities <ul><li>Apply advanced data science and statistical modelling techniques to extract meaningful insights from football data.</li><li>Build models and frameworks to profile players and teams, capturing styles of play, strengths, weaknesses, and tactical patterns.</li><li>Develop football-specific performance metrics (e.g., progressive passing value, ball retention efficiency, duel outcomes under pressure).</li><li>Communicate insights clearly to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders.</li></ul>Skills & Attributes <ul><li>Strong programming experience in Python with excellent data manipulation skills (pandas/polars).</li><li>Solid statistical or machine-learning background, with experience applying these techniques to football data.</li><li>Hands-on experience with events and/or tracking data.</li><li>Understanding of advanced football analytics (e.g., possession value models).</li><li>A genuine passion for football, strong analytical thinking, and the ability to communicate effectively with club-facing teams.</li></ul>

Data Analyst - Football

Data Scientist – Cricket Analytics London | £65k–£85k Bonus Benefits | No sponsorship We are a growing sports data consultancy building out our data science function, and we’re looking for a passionate data scientist to join our cricket team. We turn complex sporting data into clear, actionable insights that help clients make smarter, evidence-based decisions. In this role, you’ll work closely with cricket analysts to transform raw data into meaningful models, metrics, and insights that directly influence performance and strategy. What you’ll do: <ul><li>Analyse ball-by-ball, match, and player-performance datasets to uncover insights.</li><li>Support the development of predictive models and player/team profiling frameworks.</li><li>Help create cricket-specific performance metrics such as expected wickets, pressure indicators, matchup profiles, and more.</li><li>Build clear visualisations and reports to communicate findings to analysts and cricket-facing staff.</li><li>Contribute to internal R&D exploring new metrics, methods, and analytics approaches.</li></ul>What we’re looking for: <ul><li>Strong Python skills, with experience in pandas or polars.</li><li>Good understanding of statistical/ML concepts and how to apply them to real sporting problems.</li><li>Some hands-on experience with cricket data (ball-by-ball, player stats, competition data).</li><li>Curiosity about cricket analytics — modelling intent, evaluating match situations, analysing shot/bowling patterns, etc.</li><li>Clear communicator who can explain technical ideas simply.</li><li>Genuine passion for cricket and a desire to keep learning.</li></ul>If you're excited by the chance to push the boundaries of cricket analytics and work with one of the sport’s most data-forward teams, we’d love to hear from you.

Data Scientist - Cricket

Senior Data Engineer (Distributed Data Processing) UK (O/IR35), Belgium, Netherlands or Germany (B2B) Fully Remote We’re looking for a Senior Data Engineer to join a data-intensive SaaS platform operating in a complex, regulated industry. This is a hands-on senior IC role focused on distributed data processing, Spark-based pipelines, and Python-heavy engineering. You’ll be working on large-scale batch data workflows that power pricing, forecasting, and operational decision-making systems. The role requires strong engineering judgement, the ability to operate autonomously, and the confidence to mentor others while delivering under tight timelines. This is not an ML, Data Science, or GenAI role. What You’ll Be Doing •    Design, build, and evolve large-scale distributed data pipelines using Spark / PySpark. •    Develop production-grade Python data workflows that implement complex business logic. •    Work with Databricks for job execution, orchestration, and optimisation. •    Own and optimise cloud-based data infrastructure (AWS preferred, Azure also relevant). •    Optimise data workloads for performance, reliability, and cost. •    Collaborate with engineers, domain specialists, and delivery teams on client-facing projects. •    Take ownership of technical initiatives and lead by example within the team. •    Support and mentor other engineers. Must-Have Experience •    Proven experience as a Senior Data Engineer. •    Strong Python software engineering foundation. •    Hands-on Spark experience in production (PySpark essential). •    Real-world experience using Databricks for data pipelines (Spark depth matters most). •    Experience with large-scale or parallel data processing. •    Ownership of cloud infrastructure (AWS and/or Azure). •    Comfortable operating with senior-level autonomy and responsibility. •    Experience mentoring or supporting other engineers. Nice-to-Have Experience •    Experience working with time-series data. •    Background in utilities, energy, or other data-heavy regulated industries. •    Exposure to streaming technologies (Kafka, event-driven systems), though the role is primarily batch-focused.

Senior Data Engineer (Distributed Data Processing)

​Sergio joined as a Consultant sitting within our UK Contract team in 2021. He specialising in data roles recruitng for; Data analysts, Data Engineers, data scientists, insights and reporting consultants. He has since been promoted to Senior Consultant. 

Senior Data Engineer (Distributed Data Processing)

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Sergio Osman

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