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We’re looking for a hands-on Lead Data Engineer to own and build the data architecture for an AI-driven product platform deployed across customer cloud environments. This is an architect-who-still-ships role — you’ll…
What's the role? As a Lead Software Engineer, you will be designing & writing software to enrich and clean records representing the hundreds of millions of places/points of interest on our world leading global…
The Position: Support the Data Operations team by developing reporting solutions, validating data quality, documenting business definitions, and maintaining governed data products. The Data Analyst acts as a bridge…
Ready to Make an impact? Data Scientist Lead – Measurement and Experimentation Location: Sobeys COLAB Office (Toronto Downtown) Team: Advanced Analytics Overview: The Advanced Analytics team at Sobeys operates on the…
Senior Data Engineer (Microsoft Fabric, PySpark, SQL) Build a centralised, trusted data warehouse for internal technology insights using Microsoft Fabric. Own complex engineering work across PySpark, SQL, medallion…
Consultant at Talan Data x AI delivering client data solutions: building and optimising Databricks/PySpark pipelines, Power BI dashboards, and Python/SQL-based data platforms on Azure/AWS/GCP/Snowflake. Client-site work and extended travel expected.
Senior Data Engineer at Jacobs designs, builds and maintains cloud data platforms and ETL/ELT pipelines for clients in government, defence and highly regulated industries. Day to day involves AWS or Azure cloud-native services, PySpark, Python/Java microservices, SQL optimisation, data quality checks and CI/CD practices.
A Senior Data Engineer in London (hybrid) will build and lead development of a modern data platform, creating robust ETL/ELT pipelines and analytics-ready datasets using Databricks, Python, SQL, Spark/PySpark, Snowflake and cloud platforms (AWS/Azure/GCP), while collaborating with data scientists and gaining exposure to AI/ML initiatives.
Senior Data Engineer at Jacobs' UK Data & Digital team, designing, building and maintaining modern cloud data platforms for government, defence and regulated sectors. Day to day you develop scalable data pipelines with PySpark, SQL, Python and Java, working with engineers, architects and client stakeholders in a hybrid setup.
Data engineer at Jacobs building and maintaining cloud-based ETL/ELT data platforms on AWS or Azure for government, defence and regulated-industry clients. Day-to-day work spans PySpark, Python/Java microservices, SQL (Athena, Redshift, Synapse), data quality checks and CI/CD-driven delivery.
Data engineering role at PBT Group in Cape Town focused on a data migration and modernisation initiative, building ETL/ELT pipelines and using AI agents/LLMs to automate data discovery, schema mapping, transformation and validation. Core stack is Python, SQL, cloud data platforms (AWS/Azure/GCP), plus exposure to AI/agentic tooling like LangChain, LLM APIs and RAG.
Senior data engineer on the data platform team of BCI's MACH digital bank: designs, builds, and autonomously optimizes data pipelines and infrastructure on AWS (Glue, Athena, MWAA, Lambda, Terraform) using Python and SQL, while driving data governance, observability, FinOps, and mentoring junior engineers. Hybrid role in Santiago with 4 remote days per week.
UJA-Federation of New York is the world’s largest local philanthropy. We focus on caring for people in need and inspiring the Jewish future. The Data Engineering team at UJA-Federation of New York is seeking an…
Builds and maintains data pipelines, models, and dashboards for hardware test telemetry and incident data, turning raw test records into actionable insights for defense systems.
Build and own data pipelines and models for a defense-tech platform, using SQLMesh, Palantir Foundry, and AWS Athena to power real-time analytics and AI-driven command systems.
Data Engineer at atmira in Valencia building and maintaining data ingestion and ETL/ELT pipelines on AWS: processing data in Amazon S3, modeling tables and datamarts in Amazon Redshift, writing SQL queries and procedures, and supporting deployments, code reviews and backlog work. Stack includes Python, PySpark/Spark, Talend and Power BI.
Senior Azure Data Engineer at consultancy Capitole in Valencia, Spain, designing, developing and industrializing cloud data pipelines and scalable data models for analytics and AI using Databricks and Azure services (Synapse, Data Factory, Data Lake, Event Hub, Data Explorer) within Agile/DevOps teams. Requires 3+ years of data pipeline experience, Python/PySpark/SQL skills, and advanced English.
Data Engineer who owns and maintains all data pipelines feeding internal analytics for a client of Driven by Data, working 100% remotely in an Agile/JIRA setup with direct contact with business owners. Core stack: Python, SQL, PySpark, Airflow, AWS (S3, EMR, Step Functions, SageMaker), Snowflake, Jenkins, CloudWatch and Grafana.
The Data Engineering Lead (BI Analytics & DWH) designs scalable BI and data warehouse solutions, builds ETL pipelines and data models, and develops interactive Power BI/Tableau dashboards. Core stack includes SQL Server/SSIS, Python, Azure Databricks, and cloud warehouses, while mentoring junior BI developers.
TCS is hiring an Azure Data Engineer in Chennai to design, build, and optimize scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, Synapse, ADLS, and SQL, with transformation work in PySpark, Python, and Spark. Requires 5+ years of experience; interview is face-to-face.
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