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To support our growth and expansion, we’re looking for a Data Engineer with a strong Python and SQL background to build, maintain and support data pipelines, and to analyse and organise raw data for the production of…
The Woodland Trust is looking for a Data Engineer to help us manage our data, keep our systems running smoothly and support with the integration of our new Dynamics 365 CRM solution. The Role Monitor the data…
Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Our values shape the way we consult and define the people we want to join us…
If you’re looking to join a highly skilled team in a major Leeds consultancy that has had some key client wins then this is the role for you. They are a major UK player with an established data team and several new…
Onsite Data Engineer role in Basildon, UK, focused on designing and implementing ETL/ELT pipelines, data modelling, and data integration solutions using Snowflake and DBT within the Data Solutions domain.
Builds and optimizes data pipelines, warehousing, and ETL workflows using Google Cloud, DBT, and BigQuery to enable scalable data solutions and mentors junior engineers in DataOps practices.
Join to apply for the Data Engineer role at Isio. We’re growing and want you to be a part of our journey. Isio has commenced a data warehouse approach to creating repeatable MI/BI, and we are looking for someone to…
Data Engineer building scalable ETL pipelines and data processing solutions on AWS (Redshift, S3, Glue, Lambda) using Python, SQL, Airflow, and Spark for a major UK organisation's large-scale transformation programme.
Builds and maintains data pipelines, develops ETL/ELT processes, and collaborates with analysts to ensure reliable datasets using Python and cloud platforms.
Build AWS-based ETL pipelines, data warehouses, and data lakes using Java, Python, Scala, Spark, and SQL for a global consultancy.
Data Engineer based in Manchester designing, building and maintaining scalable data pipelines and datasets on a Microsoft Fabric cloud platform, primarily using SQL and Python.
Designs, validates, and maintains data models, ETL processes, and BI dashboards to ensure data accuracy, security, and compliance for Bina Nusantara’s business units. Focuses on DWH, Big Data, and BI infrastructure while supporting user needs and data governance.
Designs, maintains, and optimizes data pipelines, warehouses, and BI dashboards to support business reporting and analytics for Bina Nusantara’s units, ensuring data accuracy, security, and compliance with legal standards.
Builds scalable data pipelines and analytics engines to extract insights from fintech data; collaborates with teams to ensure data quality and integrations across systems.
Lead a data engineering team to design ETL/ELT processes and manage data warehouse and data lake platforms, ensuring data quality and governance for reporting and decision-making in a banking environment.
Lead a data engineering team to design, build, and maintain scalable ETL/ELT pipelines and data warehouses for a top Indonesian bank.
Senior Software Engineer in Data building data infrastructure and products at an Indonesian fintech, collaborating with international and local teams. Core stack centers on Java, Python, or Node.js with a preference for GCP/AWS, Apache Beam, DBT, Airflow, and big data warehousing tools.
An internship assisting senior engineers in executing small-to-medium data engineering projects, contributing to APIs, scripts, and bug fixes while learning fintech-focused data platforms (BigQuery, Airflow) and DevOps tools (Kubernetes, Terraform) on Google Cloud.
Lead the design and development of mission-critical, full-stack applications in a Python-based ML/Ops environment, integrating machine learning models into production systems while collaborating with cross-functional teams.
Business Data Analyst focused on implementing data governance frameworks, managing critical data elements, and ensuring data quality for financial and regulatory data in a banking context, using SQL for data reconciliation and analysis.
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