Skills

Leadership Python SQL Data Engineering Apache Airflow GitHub CI/CD DevOps Azure Data Factory Azure DevOps Architecture Data Architecture Linux apache Azure Shell Agile Analytics Spark Databricks PySpark GitHub Actions Spark/PySpark

Job Specifications

Data Engineer

6 Month Contract

Hybrid - 2 days per week onsite

Please note: Active SC Clearance is required for this role

A leading organisation within the UK financial sector is embarking on a major data transformation programme. They are looking for an experienced Data Engineer to help design and deliver a modern, cloud‑first data platform that will underpin some of the organisation’s most critical functions.

Responsibilities:

Design, build and deploy scalable, secure data solutions using Azure Databricks, Data Factory and Data Lake Storage.
Develop and optimise advanced data pipelines with Python, SQL, Spark/PySpark and Delta Lake.
Champion strong data quality, governance and observability practices.
Modernise legacy systems and support large-scale migrations into Azure.
Provide technical leadership, set engineering standards and contribute to architectural decisions.
Mentor engineers and foster a culture of continuous improvement.
Work closely with architecture, analytics and business teams to align engineering solutions with organisational needs.

Minimum Criteria

Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory.
Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing.
Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions, Azure DevOps).
Strong understanding of data architecture principles and cloud-native design patterns.

Essential Criteria

Demonstrated ability to lead technical delivery, mentor engineering teams and collaborate with stakeholders to ensure alignment between data solutions and business strategy.
Proficiency in Linux/Unix environments and shell scripting.
Deep understanding of source control, testing strategies, and agile development practices.
Self-motivated with a strategic mindset and a passion for driving innovation in data engineering.

Desirable Criteria

Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives.
Familiarity with:

- Apache Airflow

- Data modelling and metadata management

Experience influencing enterprise data strategy and contributing to architectural governance.

To apply for this position please submit your CV.

About the Company

Lorien is a technology, transformation and telecom talent solutions specialist. We combine tech expertise with the scope, depth and breadth of large-scale talent solutions. Driven by both clients and candidates, covering Europe and the US, we work with all sectors, sizes and tech needs – from start-up to established, tech companies and those who use tech to propel them further - we work with them all. Our unique position in the market means we have the insight to create tailored solutions – keeping our clients ahead of t... Know more