Data Engineer

Project overview

Your new company

An exciting opportunity has arisen with a globally recognised technology organisation that is investing heavily in its enterprise data and AI capabilities. The business is undertaking a significant transformation of its data platform, building trusted, AI-ready data products that support analytics, automation and emerging AI technologies across the organisation.

Your new role

As a Senior Data Engineer, you will play a key role in designing and delivering scalable, high-quality data solutions within a modern cloud environment.

You will be responsible for building and maintaining enterprise-grade ETL/ELT pipelines, creating trusted data products, and supporting the development of AI-ready data platforms. Working closely with architects, engineers and business stakeholders, you will help drive the evolution of a modern Lakehouse platform built around Databricks and cloud-native technologies.

Responsibilities

What you'll need to succeed

To be successful in this role, you will have:

The following would be beneficial:

What you'll get in return

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

#4826982 - Edward Marshall

• Designing and building scalable ETL/ELT pipelines using Databricks, PySpark, SQL and Python.
• Developing trusted data products using Lakehouse and Medallion Architecture principles.
• Working with Delta Lake and modern cloud-based data platforms.
• Integrating enterprise applications and operational systems through APIs and data interfaces.
• Building solutions that support analytics, automation and emerging AI use cases.
• Implementing data quality, testing, monitoring and validation frameworks.
• Supporting data governance, lineage, metadata and security initiatives.
• Contributing to CI/CD, automation and platform engineering best practices.
• Working within an Agile environment alongside engineering and data teams.
• Strong commercial experience in Data Engineering.
• Hands-on experience with Azure Databricks.
• Strong Python, PySpark and SQL skills.
• Experience building large-scale ETL/ELT data pipelines.
• Strong understanding of Delta Lake, Lakehouse and Medallion Architecture.
• Experience working with structured and unstructured data.
• Experience integrating enterprise systems using APIs and modern data interfaces.
• Knowledge of data modelling and data warehousing concepts.
• Experience with data quality, governance and monitoring.
• Experience using Git and CI/CD practices.
• Experience with Generative AI, LLMs or AI-enabled data solutions.
• Exposure to RAG, embeddings or vector search technologies.
• Experience with Azure cloud services.
• Knowledge of Data Vault methodologies.
• Exposure to Power BI or related analytics platforms.
• Experience working within Agile delivery teams.
• Competitive day rate of up to £730 per day.
• Initial 6-month contract with strong extension potential.
• Hybrid working model with 2 days per week onsite in the Cambridge area.
• Opportunity to work on large-scale enterprise data and AI initiatives.
• Exposure to cutting-edge technologies across Data Engineering, Cloud and AI.
• Collaborative and highly technical environment focused on innovation and engineering excellence.

Project details

• Start: flexible
• Location: Cambridge, GB
• Rate: 91-91 EUR/h