Tech jobs
Job listings
Lead Azure Data Engineer
A 12+12+12-month contract (hybrid, Canberra) leading Azure and Databricks data solutions for a Commonwealth Government agency. Day to day: designing ETL/ELT pipelines, building automated ingest/transformation frameworks, preparing Parquet/Delta data, developing Power BI visualisations, and mentoring other data engineers.
Lead Data Engineer at Toronto Hybrid
A senior/staff Lead Data Engineer in Toronto (hybrid) who designs and ships scalable data solutions end to end: building and maintaining data pipelines, ensuring data quality, and establishing Azure self-service analytics infrastructure. Core stack is Azure (Data Factory, Databricks, Azure DevOps) with Python, SQL, and PySpark.
Senior Data Engineer: Cloud-Driven Data Platform Lead (Hybrid)
A Senior Data Engineer in Johannesburg (hybrid) will lead a greenfield cloud data platform for healthcare and medical scheme administration, owning delivery end-to-end from discovery to implementation. The role blends legacy Oracle/SAP/BO/SAS systems with modern AWS, Snowflake and Power BI, focusing on automation, data quality, governance and self-service analytics.
Lead Data Engineer: Build Scalable AI Data Pipelines
Lead Data Engineer driving Genpact's Big Data and AI 'gigafactory' initiatives: building scalable AI data pipelines, mentoring engineers, and translating business needs into data solutions for enterprise clients across industries. Based in Nuevo León, Mexico, and per the posting eligible for remote work.
Lead Data Engineer - Data Engineering 4C
Lead data engineer at Genpact (AI Gigafactory) who manages a team building Big Data solutions, designing scalable data pipelines and ETL processes, and ensuring data quality and security. Core technologies include Databricks, Snowflake, cloud platforms, and Agile delivery, with fluent English required.
Senior Data Engineer - Tech Lead (GCP)
Tech lead for a data engineering team building and governing data ingestion/transformation pipelines on Google Cloud Platform for a travel & hospitality client, based in Madrid (hybrid). Day to day involves backlog and release management, standards/governance, and mentoring, using Spark, Scala, Airflow/Cloud Composer, dbt, Looker, and Vertex AI.
Databricks Lakehouse Architect & Lead Data Engineer
Elliott Moss Consulting is hiring a Databricks Lakehouse Architect & Lead Data Engineer in Singapore to design and build enterprise-scale data platforms on Databricks and AWS. The role mixes architecture leadership with hands-on engineering of Lakehouse solutions, data pipelines, and AI/ML workloads, with governance, security, and operational controls.
Lead Data Engineer
Lead the design and delivery of enterprise-scale data platforms on Databricks and AWS, combining architecture leadership with hands-on engineering of Lakehouse solutions, modern data pipelines, and AI/ML or Generative AI workloads while mentoring data engineers.
Lead Data Engineer
Lead Data Engineer at Ageas, a major UK car and home insurer: lead the design and development of a cloud-based data platform, build scalable batch and real-time pipelines, and mentor a team of data engineers to enable analytics, ML and AI. Core stack: Databricks, Spark, SQL, Python, Airflow, Terraform; hybrid with twice-monthly office days.
Lead Data Engineer
Lead Data Engineer at Ageas UK (car/home insurer) who leads the design and improvement of a cloud-based data platform, mentors a team of data engineers, and builds scalable pipelines enabling analytics, ML and AI. Core stack: Databricks, Spark, SQL, Python, plus Airflow and Terraform. Hybrid with twice-monthly office attendance in London/Eastleigh.
Lead Data Engineer
First-ever Data Engineering Lead at a rapidly growing consumer brand in London (hybrid), owning the entire data landscape: building a BigQuery-based cloud platform, Python/SQL ETL/ELT pipelines with dbt, plus governance, reporting and self-service analytics while growing the data function. Up to £90,000 base plus 20% bonus.
Lead Data Engineer
Lead Data Engineer responsible for building and operating scalable data pipelines and ETL/ELT processes. The role focuses on engineering excellence, data quality, and operational reliability using technologies like Databricks, PySpark, Apache Airflow, and NiFi.
Data Engineering Lead
Lead data engineer at Capgemini's Dallas office who designs and maintains data pipelines with Apache Airflow, builds ETL/ELT workflows in Databricks (PySpark/Spark), and manages Snowflake/SQL data warehouses, while leading code reviews, mentoring team members, and providing rotational production support.