418 jobs for “Engineer”
Harnham - Data and Analytics Recruitment London £120,000 – £135,000 pa
Lead a newly formed Data Hub engineering function, owning delivery, technical direction and team development while consolidating fragmented legacy systems into a single governed platform. Combines strategic leadership with hands-on oversight across Snowflake, DBT, SQL and Python, managing distributed teams and establishing Agile, DevOps and reliability best practices.
Experis Baltimore, United States £500 pd
Builds and supports ETL pipelines to move and transform data efficiently, developing reliable data flows so teams can access the right information at the right time. Works within a secure public-sector environment, following controls and best practices while ensuring data quality and consistency across downstream usage. IBM DataStage and Oracle experience are desirable.
Experis Telford £500 – £570 pd
Build and operate secure data integration solutions, pipelines and batch or near-real-time processing within a DevOps environment, using Java microservices, RabbitMQ, MongoDB/MySQL and Kubernetes. Support incidents, monitor services with Grafana/Prometheus, and work in Agile teams with client stakeholders, mentoring colleagues and sharing knowledge.
Databricks London
New-grad engineers join a cohort to build infrastructure and products across the Databricks platform, working in areas such as backend, full stack, infrastructure, databases, systems, cloud and customer-facing products. They own the full development lifecycle from design and testing to running services in production, with a dedicated mentor and a focus on reliability, scalability and security.
Adecco London £525 – £575 pd
Hands-on data engineering role in a large-scale digital and data environment, designing complex data flows and scalable data models across operational, analytics and BI systems. The stack centres on Google Cloud Platform, BigQuery, Dataform and Airflow/Cloud Composer, with work spanning data integration from APIs and digital channels, data quality, governance and engineering standards. Requires independent investigation where requirements are initially ambiguous.
Genomics England London
Company DescriptionGenomics England is a global leader in enabling genomic medicine and research, focused on creating a world where everyone benefits from genomic healthcare. Building on the 100,000 Genomes Project, we support the NHS’s world-first national whole genome sequencing service...
Adecco Derby £60,000 – £75,000 pa
Design and build data pipelines, ETL processes, APIs and microservices in Python, deploying machine learning models and statistical analysis into production. Manage AWS infrastructure (S3, Lambda, EC2, RDS, Glue) supporting data and application workloads, working with large complex datasets in an innovative technology team.
83zero London £65,000 – £75,000 pa
Client-facing consulting role building and maintaining scalable data pipelines with Azure Data Factory, Databricks and Azure SQL, plus ETL in SQL and Python. You'll design Kimball, 3NF and dimensional models, develop metadata-driven pipelines and work with financial services clients on reporting, analytics and operational data platforms.
Talent Sure Recruitment Limited London £40,000 – £80,000 pa
Builds and supports data products on a modern cloud platform, developing and optimising scalable batch and real-time pipelines while integrating large datasets with strong governance. Works in a collaborative agile squad of data and AI engineers, scientists and architects, using Databricks or Snowflake on AWS, Python, PySpark, Airflow and Terraform, with scope to experiment with ML and generative AI.
Prize Placements Kings Langley £65,000 – £70,000 pa
Hands-on backend data engineering role owning ELT/ETL pipelines that ingest from REST APIs, databases and flat files into Snowflake. You'll build Python ingestion and automation scripts, manage Fivetran or Meltano/Singer connectors, optimise advanced SQL, and implement pipeline monitoring, logging and data quality checks, working alongside analysts and BI colleagues.
KO2 Embedded Recruitment Solutions Milton Keynes £55,000 – £65,000 pa
Designs and builds real-time embedded software in C and C++ for sensors and microelectronics, alongside ML pipelines, CI/CD, and MLOps for live model monitoring. Develops generative AI and LLM systems including RAG and fine-tuning, plus Spark or dbt ETL pipelines and IoT data services. Joins a small team owning the full SDLC from clean-sheet design to tested, deployed code.
Tenth Revolution Group London £60,000 – £90,000 pa
Builds cloud-native data platforms using medallion architecture and engineers batch and near real-time pipelines with Python, PySpark, Databricks and Snowflake. Integrates data from PAS, claims, broker and market feeds for underwriting, pricing, claims and reinsurance, while mentoring juniors and supporting CI/CD. Distinct for its London Market insurance domain focus and senior stakeholder exposure.
Amazon London
Designs and builds ETL pipelines and data models at scale, working across the full data lifecycle from ingesting semi-structured streams to enabling self-service analytics. Collaborates with analysts, scientists and engineers on data quality, lineage and query performance, and mentors peers on architecture best practices. Sits within a supply chain planning data infrastructure team.
eTech Partners London £60,000 – £65,000 pa
Designs and builds data solutions using Microsoft Fabric and Azure, developing and maintaining ETL/ELT pipelines across multiple sources. Works with Fabric Lakehouses, Notebooks, Pipelines and Workspaces alongside Azure Data Factory, Databricks, Azure SQL and Synapse, coding in SQL, Python and PowerShell. Also supports Power BI reporting and ensures data quality, security and governance, using Azure DevOps/GIT for source control and deployment.
CBSbutler Holdings Limited trading as CBSbutler Sheffield £350 – £395 pd
Designs and maintains ETL/ELT pipelines for large-scale log and event data, builds data models for MI reporting and governance, and creates dashboards using Power BI, Tableau, Kibana or Grafana. Works with SQL and Python or Spark to implement data quality checks and automated alerting, collaborating with platform, DevOps, security, risk and compliance teams on an enterprise productivity platform.
