Senior Data Engineer
other jobs Michael Page Technology
Added before 6 Days
- England,London,City of London
- Full Time, Temporary
- £700 - £900 per day
Job Description:
Full job description
We’re seeking a Senior Data Engineer to play a key role in designing and delivering scalable, cloud-based data solutions that support business-critical decision-making. You’ll work across the full data lifecycle, building robust pipelines, optimising performance, and helping drive best practice within a growing data function.
Client Details
Our client is a forward-thinking organisation undergoing significant investment in its data and technology capabilities. Operating in a fast-paced environment, they are leveraging modern cloud technologies to transform how data is used across the business and create a more data-driven culture.
Description
*Design, develop, and maintain scalable data pipelines using Python and Databricks.
*Build and optimise ETL/ELT workflows using Spark and Delta Lake.
*Develop and maintain data models and lakehouse architectures.
*Ensure high levels of data quality, reliability, governance, and security.
*Optimise the performance of distributed data processing workloads.
*Collaborate with analysts, engineers, and data scientists to support reporting and advanced analytics initiatives.
*Implement monitoring, logging, and alerting frameworks across data platforms.
*Support and mentor junior engineers while promoting engineering best practices.
*£700-900 Day Rate (Inside IR35)
*Contribute to the continual evolution of the organisation’s data platform and architecture.
Profile
*10+ years’ experience in Data Engineering.
*Strong commercial experience with Python.
*Advanced hands-on knowledge of Databricks, including notebooks, workflows, jobs, and Delta Lake.
*Strong experience with Apache Spark / PySpark.
*Proven track record building and maintaining scalable ETL pipelines.
*Strong SQL and data modelling expertise.
*Experience working within AWS, Azure, or GCP environments.
*Exposure to modern data warehousing platforms such as Snowflake, BigQuery, or Redshift.
*Familiarity with orchestration tools including Airflow or Databricks Workflows.
*Excellent communication skills with the ability to engage technical and non-technical stakeholders.
*Strong problem-solving mindset and a passion for delivering high-quality data solutions.
Job Offer
*Opportunity to influence the direction of a modern data platform.
*Exposure to the latest cloud, data engineering, and lakehouse technologies.
*Collaborative and highly skilled technical environment.
*Clear opportunity to mentor others and shape engineering best practice.
*
*Flexible working arrangements.
We’re seeking a Senior Data Engineer to play a key role in designing and delivering scalable, cloud-based data solutions that support business-critical decision-making. You’ll work across the full data lifecycle, building robust pipelines, optimising performance, and helping drive best practice within a growing data function.
Client Details
Our client is a forward-thinking organisation undergoing significant investment in its data and technology capabilities. Operating in a fast-paced environment, they are leveraging modern cloud technologies to transform how data is used across the business and create a more data-driven culture.
Description
*Design, develop, and maintain scalable data pipelines using Python and Databricks.
*Build and optimise ETL/ELT workflows using Spark and Delta Lake.
*Develop and maintain data models and lakehouse architectures.
*Ensure high levels of data quality, reliability, governance, and security.
*Optimise the performance of distributed data processing workloads.
*Collaborate with analysts, engineers, and data scientists to support reporting and advanced analytics initiatives.
*Implement monitoring, logging, and alerting frameworks across data platforms.
*Support and mentor junior engineers while promoting engineering best practices.
*£700-900 Day Rate (Inside IR35)
*Contribute to the continual evolution of the organisation’s data platform and architecture.
Profile
*10+ years’ experience in Data Engineering.
*Strong commercial experience with Python.
*Advanced hands-on knowledge of Databricks, including notebooks, workflows, jobs, and Delta Lake.
*Strong experience with Apache Spark / PySpark.
*Proven track record building and maintaining scalable ETL pipelines.
*Strong SQL and data modelling expertise.
*Experience working within AWS, Azure, or GCP environments.
*Exposure to modern data warehousing platforms such as Snowflake, BigQuery, or Redshift.
*Familiarity with orchestration tools including Airflow or Databricks Workflows.
*Excellent communication skills with the ability to engage technical and non-technical stakeholders.
*Strong problem-solving mindset and a passion for delivering high-quality data solutions.
Job Offer
*Opportunity to influence the direction of a modern data platform.
*Exposure to the latest cloud, data engineering, and lakehouse technologies.
*Collaborative and highly skilled technical environment.
*Clear opportunity to mentor others and shape engineering best practice.
*
*Flexible working arrangements.
Job number 4173509
The jobs on site are for both men and women