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Builds and maintains cloud-based ETL pipelines and dashboards for the UK government’s Debt Solutions team, transforming raw data into actionable insights for decision-making.
Designs and maintains scalable data pipelines on Databricks/Azure, focusing on ELT and analytics for the UK veterinary sector’s data platform.
Contract Data Engineer building a greenfield AI-powered BI assistant (Claude/MCP-based) connected to BigQuery, dbt, Metabase, and GitHub — owning the project solo from architecture through evaluation to deployment over 3–6 months.
Design and maintain scalable AWS-based data pipelines and warehouses for Liverpool FC, leading offshore teams and ensuring data quality for analytics.
Pre-sales Technical Solutions Architect focused on data engineering, helping enterprise customers design AI-ready data platforms using Snowflake and Databricks on major clouds while partnering with sales teams to shape services opportunities.
Designs and builds a Microsoft Fabric data platform for NHS Grampian, migrating from Tableau to Power BI while ensuring governance, security, and scalability to support patient care and population health analytics.
Builds and optimizes data pipelines to clean, process, and analyze large datasets for media strategy. Works with ML techniques to help clients refine audience targeting, campaign effectiveness, and media planning globally. Collaborates with data scientists and stakeholders to develop tools and insights for WPP’s high-profile clients.
Senior Data Engineer building scalable data products and pipelines on cloud platforms (AWS/Azure/GCP) using tools like Databricks, Snowflake, Spark, and Airflow.
Design, build, and support cloud-based data solutions across AWS and Azure, driving data migration, integration, and governance using ETL/ELT, data warehousing, and data lakehouse architectures.
Senior Data Engineer at Social Security Scotland designing and implementing data flows for analytics and BI, leading data streaming initiatives, building reusable patterns, and mentoring teams with a hybrid working model based in Glasgow or Dundee.
Managing Data Engineer leading advanced analytics solutions at IBM Consulting UK, using Python, R, SQL, SPSS, and data manipulation tools to solve complex business problems for public and private sector clients.
Lead data engineering for public sector/defence clients, building analytics pipelines with Python/R/SQL, mentoring junior engineers, and analyzing data trends.
Build and optimize scalable data pipelines for a regulated online casino platform, using Python, SQL, and cloud warehouses like Snowflake or Redshift.
Lead data engineer designing and delivering scalable data pipelines into BigQuery and GCP, setting engineering standards for data modelling, testing, and cost optimisation while mentoring engineers and promoting data governance.
Mid-level Data Engineer designing and deploying data pipelines on Azure Databricks, ingesting data from REST APIs using Python and SQL, while engaging clients and contributing to CI/CD and infrastructure as code.
Lead a Data Engineering team through a Databricks-centric platform modernization, designing and governing data pipelines and Bronze to Platinum layer data assets.
Data Engineer designing and evolving SQL Server databases, ETL ingestion processes, and dashboards for a digital publisher, working hybrid in London with Azure and analytics tools.
Design and implement end-to-end data integration and transformation solutions using Snowflake and DBT, focusing on ETL/ELT design, data mapping, and modeling for a global data platform.
Design and implement Quantexa-based data pipelines, configure components, and lead data engineering initiatives for client engagements using Spark, Scala, Python, and Databricks in a hybrid London role.
Data Engineer supporting a ledger migration and data clean-up initiative, working on data lake, reporting systems, and downstream feeds with large-scale batch processing, data validation, and regression testing in a financial services environment.
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