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Build and maintain data pipelines, warehouses, and BI systems for Scale’s Public Sector unit, enabling data-driven decisions and reporting across millions of API tasks.
Senior Data Engineer on Xplore's Network Intelligence team, owning end-to-end Databricks data pipelines (PySpark, Delta Lake, medallion architecture) for network telemetry across fiber, fixed wireless, and satellite platforms in both cloud and on-prem environments, powering analytics, observability, and ML.
Data engineer / BI analyst at a health-focused company in Belgium: migrating the existing data warehouse to Microsoft Fabric, maintaining and developing data models, integrating data flows from various applications, and building a new internal reporting portal. Core stack: Microsoft Fabric, Power BI, Tableau, Python, SQL.
Data Engineer (3-5 yrs) to design and run a GCP data platform end-to-end — BigQuery, Terraform IaC, Airflow/Cloud Composer orchestration, CI/CD for data — plus build LLM-based agents and data governance/lineage, for a Randstad Digital client. Permanent contract, hybrid in Cuneo (3 days on-site).
Senior Data Engineer building scalable ETL/ELT data pipelines and orchestration workflows on AWS, using Python, AWS Glue, Step Functions, Docker, and AWS data stores like S3, RDS/Aurora, Redshift and DynamoDB. Hybrid role based in Lima, Peru, with office attendance in Miraflores 1-2 times per week.
TD is hiring a Senior Data Engineer in Belfast to lead its strategic Research data platform on Databricks, designing scalable data pipelines and governed data products that power analytics, BI reporting, and AI initiatives, while coordinating with global stakeholders and offshore teams.
Data Engineer joining a brand-new data team in Bury to build the organisation's data capability from scratch using Microsoft Fabric, ADF pipelines, Medallion Architecture and Power BI. Four days per week on-site during probation, with flexibility thereafter; £55k plus bonus, equity and benefits.
A Data Engineer at media agency the7stars builds ELT pipelines and cloud analytics using Looker, Google Cloud, and Salesforce, turning multi-source data into actionable marketing performance insights. The role involves collaborating with marketing stakeholders and supporting AI-driven initiatives in a hybrid, London-based setting.
A Data Engineer at the7stars' Insight, Analytics and Data unit in Covent Garden, building and transforming data from multiple sources via ELT pipelines on Google Cloud, AWS and Azure, delivering visualisations in Looker/Tableau/Power BI, and supporting marketing analytics and AI transformation projects.
Data Engineer (recruited by C4S Search for a SaaS company, hybrid in Cirencester/Malmesbury) who owns data quality, structure and consistency across products, builds data pipelines and tooling to monitor data integrity for reporting and dashboards, and supports analytics, ML and future AI initiatives. Core focus on SQL and data quality.
Jacobs is hiring a Data Engineer to design, build and maintain cloud-native data platforms on AWS and Azure — developing ETL/ELT pipelines, data quality checks, and PySpark, SQL and Java microservices to deliver trusted data for government and industry projects, working in multidisciplinary teams with CI/CD and DevOps practices.
Ocado is hiring a GA4 Data Engineer to own Google Analytics 4 setup, QA, and audits for e-commerce events across web and app, acting as the lead consultant for global partner measurement. The role embeds analytics metrics into internal datasets and Looker reports alongside data engineering and product teams.
A 12-month fixed-term role at engineering consultancy Arup in London, designing and maintaining reliable systems for managing geospatial data at project scale. Day to day involves spatial data management, automation and visualisation using tools like ArcGIS, FME, Python, Power BI and SQL Server to support infrastructure, energy and environmental projects.
Data Platform Engineer at Qube Research & Technologies in London, building a next-generation data platform that ingests, aggregates, and indexes diverse data sources. Day to day involves designing scalable distributed services and pipelines with Rust as the primary language (Go/C++/Java also welcome), plus writing automated tests.
A data engineer builds a clean, validated data foundation for UK Health: designing data models, scoping data integrations, and collaborating with health SMEs to deliver quality, discoverable data for new analytics workflows and applications. Hybrid London office/remote setup paying £50,000–£60,000.
Hands-on Data Engineer building scalable cloud data pipelines with Databricks, Python and SQL as part of a data transformation and cloud modernisation programme in a regulated enterprise environment. Day to day involves migrating legacy data to the cloud and integrating sources such as Oracle, hybrid with 3 days on-site in London.
Senior data engineer at LexisNexis Risk Solutions designing and delivering scalable customer data platform (CDP) solutions on Oracle Unity. Day to day: building ETL data pipelines, defining Customer 360 data models, integrating the CDP with the enterprise data lake, and leading technical design with stakeholders using SQL, Python, and cloud platforms.
A data engineer who designs and builds scalable analytics pipelines using Azure Data Factory, Synapse, Fabric, and Databricks — integrating diverse data sources, developing ELT/ETL processes, mentoring juniors, and contributing to CI/CD while progressing toward senior responsibilities in a hybrid, client-facing role.
Geospatial Data Engineer at Arup in London who designs and maintains reliable systems for managing spatial data, enabling consultants, designers and engineers to use geospatial data at project scale. Core focus is geospatial/spatial data engineering and automation, serving infrastructure, energy, cities and environmental markets.
Senior Data Platform Engineer on Just Eat Takeaway's Batch Data Tools team, building and evolving Mobius, the company's Kubernetes-native declarative batch data platform. Day to day: designing batch pipeline capabilities on AWS, owning observability and incident response, and partnering with internal teams. Stack: Python/Java/Scala, Kubernetes, Spark, DBT, Iceberg, Airflow.
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