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Position Overview This position supports the identification, documentation, and integration of data assets within the Enterprise Data Management (EDM) environment. The Data Engineer II assists with developing and…
L2 systems engineer at an MSP who builds and operates API integrations between business systems (e.g. Halo PSA, Float, HiBob, Xero, HubSpot), remediates data quality, and contributes to a central data warehouse and reporting layer. Core stack includes REST/OAuth2 APIs, SQL, Power Query, Microsoft Fabric and Azure AI Foundry.
Senior hands-on data engineer at Apolitical, a govtech platform serving public servants worldwide. Owns ingestion, orchestration, data quality, governance and modelling on BigQuery with dbt, Airflow, Airbyte, Python, Terraform and GitHub Actions, including reverse-ETL into live systems. Hybrid role, 2 days a week in London.
A data engineer for a Belfast-based financial and professional services firm, building and maintaining ETL/ELT pipelines, data warehouses and data lakes on Microsoft Fabric and SQL Server to power reporting, analytics and AI. Hybrid: two days per week in the office; salary up to £60,000.
Data Engineer at Shop2Shop, a South African payments company, designs, builds and runs the data platform and pipelines, owning data quality, lineage and production support so stakeholders get trustworthy data. Core stack: Python, Dagster, dbt, DuckDB, Athena, PostgreSQL, Terraform, Docker, Kubernetes and GitLab CI on AWS; hybrid role based in Stellenbosch.
Senior hands-on leadership role at SolarWinds defining and delivering enterprise data products and analytics strategy across GTM, Finance, Customer, Product, and Marketing. The director personally builds and reviews dbt models, SQL/Python analysis, and Tableau dashboards (BigQuery warehouse), based in San Francisco with ~1 day/week in-office.
A 5-month contract ETL developer role in Toronto (via isgSearch) serving a government health data organization: building and maintaining big-data pipelines and analytics products with Python, PySpark, and SQL on AWS (EMR), orchestrated with Apache Airflow, plus Linux shell scripting and ETL documentation.
A 5-month contract ETL developer role in Toronto building and maintaining data products for a government health data organization. Day-to-day involves manipulating large datasets with Python, PySpark, and SQL on AWS (EMR), orchestrating pipelines with Apache Airflow, writing clean modular code, and producing project documentation.
Dataflix is hiring a Cloud Data Engineer in San Francisco to design, build, and optimize scalable ETL/ELT pipelines and analytics-ready cloud data platforms using Snowflake, DBT, and Azure data services (Data Factory, Data Lake, Synapse), including data modeling, quality/governance, and CI/CD support.
Datacolor seeks a Strategic Data Architect to own companywide data architecture strategy: designing scalable data models, storage, and integration, consolidating legacy systems, and enforcing governance and security. Requires 8+ years in data management on SaaS/cloud platforms with tools like Snowflake, Redshift, AWS, and Azure.
This is Remote. Role Overview: This role owns the end-to-end delivery of data from multiple source systems to Business Intelligence consumers across the organization. The Director leads a team of data engineers and…
Senior Data Engineer designing, building, and operating scalable data pipelines on Databricks — refactoring legacy ETL to PySpark, optimizing Spark/Delta Lake performance, and mentoring junior engineers. Requires 5+ years in data engineering, 2-3 years hands-on with Databricks, and a Databricks Data Engineer certification.
Data Engineer at Covation Global / United Wheels (on-site in Miamisburg, OH) builds and maintains data pipelines, models, and integrations that power reporting, analytics, and data governance. Day-to-day work centers on SQL and Python ETL/ELT development, AWS data services (S3, Glue, Redshift, Lambda, Athena), BI support, and data quality/lineage documentation.
BI Developer for a software solutions company, hired via Romanian recruiting firm Talentwelove. Day to day: translating business requirements into data warehouse/BI solutions and maintaining analytics platforms using SQL Server, Power BI, SSRS, SSIS, and OLAP cubes, plus building reports, visualizations, and technical docs. Remote, on-site, or hybrid.
Junior Data Engineer on an initial 6-month contract (with likely extensions) supporting a Federal Government agency in Melbourne or Canberra on a hybrid basis: ingesting, transforming and validating data with SQL, building pipelines in Azure Data Factory and Microsoft Fabric, and preparing Power BI reports. Paid hourly; requires a Baseline clearance or ability to obtain one.
eMinds is hiring a Data Engineer in Dubai to build and maintain ETL/ELT pipelines, data models, and analytics-ready datasets for enterprise data solutions. Day to day involves SQL, Python, data warehousing (dimensional modeling, star schemas), Tableau reporting, data quality work, and AI-assisted automation.
Data engineer for a leading Dubai-based client, designing and running scalable ETL/ELT pipelines and Azure/Databricks data warehouse and lakehouse solutions. Day to day: Python/PySpark and SQL transformations, workflow orchestration (Data Factory, Airflow), plus data quality and governance. On-site role via consultancy Duncan & Ross.
Senior Data Engineer in Dubai who leads the design, build, and optimization of batch and real-time data pipelines, owning data modeling, ingestion, and lakehouse platform reliability while mentoring the team. Core stack: dbt, Airflow, Spark/PySpark, Dremio/Iceberg on S3, Python, advanced SQL, and hands-on NoSQL stores.
Hands-on data platform engineer at Deloitte building and running batch/streaming pipelines and platform components on Snowflake and/or Databricks for Singapore Government & Public Services engagements. Day-to-day: data modelling and transformations (dbt, Spark, SQL), orchestration (Airflow, ADF), security/cost optimisation, and technical leadership within client delivery teams.
Senior Data Engineer at a Singapore proprietary trading firm, building and operating the full data infrastructure for research and trading: scalable pipelines, warehouse normalization, and quality monitoring for large volumes of market data, news feeds, and internal sources. Core stack includes SQL, Python/Java/Scala, Airflow, dbt, Spark/Kafka/Flink, and cloud data platforms.
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