Tech jobs
Job listings
Senior AWS Data Engineer - Hybrid London/WFH to £90k
Senior Data Engineer designing, building, and owning a cloud-hosted data platform on AWS, including data ingestion pipelines, legacy migration, and hub-and-spoke architecture to support analytics and AI.
Data Engineer – Real‑Time Pipelines & AI (Hybrid)
The Data Engineer will build and maintain scalable real-time data pipelines using Python, SQL, PySpark, Databricks, Kafka, and AWS. The role involves collaborating with data scientists and software engineers to support AI/ML initiatives and manage large-scale sensor data processing.
Senior Data Engineer: Cloud Data Platforms & ETL
The Senior Data Engineer will design and deliver data solutions using AWS, Azure, PySpark, and SQL within government and defense sectors. The role involves collaborating with architects and stakeholders to build robust data integration pipelines in a hybrid work environment.
Principal Data Engineer - Lead Data Flows & Analytics
Principal Data Engineer at UCL leading data transformation initiatives—designing and implementing data flows between operational systems and BI/analytics using AWS, Azure, and FiveTran in on-premise and cloud environments.
Senior Snowflake Data Engineer | Hybrid (Sutton)
The Senior Snowflake Data Engineer will design and develop scalable data solutions using Snowflake, AWS, and Python. This hybrid role involves collaborating with cross-functional teams to build robust data architectures.
AWS Data Engineer - Hybrid, Growth & Impact
The Data Engineer will design and build production data pipelines on AWS to support scalable data movement, warehousing, and analytics for client projects. The role involves using Java, Python, Scala, Spark, and SQL within an agile, hybrid-working environment.
Data Engineer - Kids Planet Central Support
Data Engineer building data pipelines, maintaining a data warehouse, and improving APIs for a large UK nursery group using Python, SQL, and cloud platforms.
Senior Snowflake Data Engineer
Leads Snowflake data engineering for a client, designing complex data models, mentoring teams, and optimizing ETL pipelines while collaborating on Agile software development projects.
Lead Data Platform Engineer – AWS, ETL & Pipelines
Lead Data Engineer building and evolving Liverpool FC's data platform and warehouse, designing scalable AWS-based ETL pipelines and data models while guiding offshore dev teams.
Lakehouse Data Engineer: Modernize Pipelines & DAGs
GlobalLogic is seeking a Data Engineer to migrate a legacy Teradata ecosystem to an AWS lakehouse architecture using Databricks, dbt, and Airflow. The role involves converting BTEQ scripts to dbt models and implementing data lineage solutions.
Associate, Lead Data Engineer
The Lead Data Engineer will design, maintain, and enhance the enterprise data platform and warehouse using AWS technologies, Python, and SQL. This role combines hands-on development with technical leadership, providing oversight to offshore teams to ensure scalable and reliable data solutions.
Senior Data Engineer
The Senior Data Engineer will design, build, and maintain cloud-based ETL/ELT data pipelines using AWS or Azure services. The role involves collaborating with cross-functional teams to deliver scalable data solutions for government and highly regulated industries.
Lead Data Engineer
The Lead Data Engineer will analyze and document a complex, legacy 1,100-table SQL Server estate for a financial services client using AI-assisted tools like Claude. This hybrid role involves mentoring a team, mapping data dependencies, and designing archiving strategies to modernize the client's database landscape.
DATA ENGINEER
The Data Engineer will design and maintain robust ETL pipelines, data APIs, and storage solutions to support rail industry analytics and software products. The role involves working with cloud platforms like AWS or Azure and collaborating in an agile environment to solve complex operational challenges.
Data Engineer
The Data Engineer will join the DWP Management Information team to design, build, and optimize scalable data pipelines using PySpark and AWS technologies. The role focuses on supporting analytical reporting and strategic decision-making within a hybrid cloud environment.