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A full stack engineer on JAC Recruitment's Digital Solutions team builds end-to-end, data-intensive applications: front-end, backend APIs, ETL/ELT data pipelines, and cloud infrastructure on AWS/Azure, plus CI/CD and data warehouses/lakes, working with consultants, AI engineers, analysts, and clients.
Mid-to-senior Data Engineer designing, building, and maintaining data pipelines and ELT/ETL using Azure Data Factory, Synapse, Microsoft Fabric, and Databricks, integrating sources into Azure Data Lake/OneLake and supporting Power BI and Purview governance. The role blends hands-on engineering with client consulting, mentoring junior engineers, and growth toward architectural responsibilities.
Data Engineer at Octopus Energy Generation who owns data end-to-end: building and maintaining Databricks pipelines, modelling warehouse data, automating manual processes with Python, integrating systems via REST APIs, and shipping dashboards and internal tools (Streamlit, FastAPI, HTMX) for fund and asset management teams.
Data Engineer at LexisNexis Risk Solutions building and maintaining customer-data pipelines, models, and governance for the Marketing Hub — powering the CDP, identity resolution, journey orchestration, and BI dashboards using advanced SQL, cloud platforms (Azure/AWS/GCP), and orchestration tools like Airflow, Data Factory, and dbt.
Data Engineer at OurCoop, a UK co-operative society, based in Warwick. Day to day you design, build and operate ETL/ELT pipelines and data platforms on the Microsoft data stack (Fabric, ADF, Azure Data Lake, Synapse, PySpark) to power reporting, analytics and AI across the organisation.
Senior Data Engineer who designs, builds, and operates CharterUP's data pipelines, models, and data products powering analytics and AI across its transportation marketplace, including leading a Redshift-to-Snowflake migration. Core stack includes SQL, Python, dbt, Airflow/Prefect, and cloud warehouses like Snowflake.
Senior Data Engineer at Agilisium (life-sciences-focused AI services) designing and optimizing scalable batch and streaming data pipelines and lakehouse platforms on AWS. Core stack: Python, SQL, PySpark, Databricks, and AWS services like S3, Glue, EMR, Redshift, Athena, and Lambda, in a hybrid in-office setting in Saidapet, India.
A senior data engineer building scalable ETL/ELT pipelines for life-sciences and biomedical data (genomics, clinical trials, research) using PySpark, Databricks, and SQL on cloud platforms (AWS/GCP/Azure). Day-to-day involves pipeline development, data modeling and governance, data quality checks, and data lake/warehouse work with tools like Snowflake, Redshift, and Synapse.
Despite the 'Senior Fullstack Developer' title, this is a data engineering role: the person designs, builds, and optimizes scalable batch and streaming data pipelines and lakehouse platforms on AWS using Python, SQL, PySpark, and Databricks, supporting analytics and AI-powered products in a hybrid, agile setting.
A data engineer builds and optimizes data pipelines, integrations, and data models across cloud and on-premises environments using the Microsoft ecosystem — Azure (Data Factory, ADLS), Databricks, the SQL Server BI stack (SSIS/SSAS/SSRS), and Power BI/Fabric — translating business requirements into reliable analytics solutions. Hybrid role based in Lisbon and/or Porto.
Join our Movement and Champion Restaurant Culture! 💚 At TheFork we believe that the best things in life happen around the table. As the leading restaurant booking platform in Europe, we connect the broadest community…
Own the enterprise data products and AI-ready semantic layer for Fanatics' global supply chain, defining roadmaps, metrics, and governance to power trusted BI and AI across 900+ ecommerce sites and omnichannel operations.
Judi Health is hiring a Data Scientist to analyze complex healthcare and pharmacy benefit management data, building statistical and machine learning models, experiments, and dashboards that improve operational efficiency and healthcare outcomes. Day-to-day work centers on Python or R, advanced SQL, predictive modeling, and translating analyses into recommendations for technical and non-technical s
Build and own the data infrastructure for a B2B fintech platform that transforms raw financial data into actionable insights for accounts receivable automation, using Python, SQL, and modern cloud data tools.
Analyzes payment transaction data for an iGaming-focused IT company, identifying conversion bottlenecks and optimizing payment processes using SQL, Power BI, and payment metrics.
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. On the Rider team, we are growing our team with…
Covista is hiring a Director of Data Engineering to own and operate its enterprise cloud data platform — a BigQuery/GCS lakehouse, ingestion pipelines (Fivetran), the Dataplex-based Knowledge Catalog, and DataOps. The role leads teams and vendors, enforces data governance and contracts, and manages capacity, cost, and technical debt to deliver trustworthy data for Data Science, Reporting, and Appl
Senior data engineer building and maintaining Microsoft Azure data solutions — pipelines, warehouses, lakes, and analytics platforms using Synapse, Data Factory, Databricks, and Azure SQL — while partnering with data scientists and business stakeholders. Fully remote; requires 5+ years in data engineering with SQL, Python, Scala, Spark, and Power BI.
Confie is hiring a Senior Data Warehouse Architect in Tijuana to design, build, and optimize its enterprise data warehouse on Snowflake, lead ETL/ELT pipelines with tools like Coalesce and Wherescape, tune performance and costs, and drive platform migrations while mentoring data engineers and analysts.
Senior Data Engineer focused on data quality at Fulcrum Digital: validating and building large-scale data pipelines, performing source-to-target reconciliation, and ensuring reliability of Lakehouse platforms. Core stack is Databricks, PySpark, Hadoop/Hive, advanced SQL, and cloud platforms (Azure, AWS, or GCP).
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