Offer summary

Qualifications:

Proven experience in data engineering and data warehousing., Hands-on expertise with Snowflake and cloud platforms like AWS or Azure., Strong SQL skills and programming knowledge in Python, Java, or Scala., Experience with data integration tools, APIs, and real-time data processing..

Key responsibilities:

Develop and maintain ETL/ELT data pipelines for Snowflake and data lakehouse environments.

Design and optimise data models and schemas for structured and unstructured data.

Collaborate with teams to ensure data availability for analytics and reporting.

Automate workflows and implement CI/CD pipelines to maintain data quality.

Job description

Data Engineer Cloud & Data Transformation

Location: Milton Keynes (Hybrid) or remote working / home based within the UK with very occasional office visits

Are you a Data Engineer passionate about cloud data solutions, modern data architectures, and scalable ETL/ELT processes? Join a forward-thinking organisation in the financial services sector, driving data transformation and innovation.

About the Role

As a Data Engineer, you will play a key role in developing and optimising data pipelines, integrating structured and unstructured data, and supporting the evolution of a modern Snowflake cloud-based data platform. This role involves working with Snowflake, data lakehouse architectures, and cloud technologies to ensure robust, scalable, and efficient data processing.

Key Responsibilities

Develop and maintain ETL/ELT processes to ingest, transform, and integrate data from multiple sources into Snowflake and data lakehouse environments
Design and optimise data models and schemas for both structured and unstructured data with a snowflake environment
Enhance cloud data capabilities, working with AWS S3, Azure Data Lake, and Apache Spark
Collaborate with cross-functional teams to ensure data availability for advanced analytics and reporting
Automate workflows, implement CI/CD pipelines, and maintain data integrity and quality
Stay ahead of emerging technologies to drive continuous improvement and innovation in data engineering

Key Skills & Experience

Proven experience in data engineering, data warehousing, and data lakehouse development
Hands-on expertise in Snowflake and cloud platforms (AWS, Azure)
Strong SQL and programming skills in Python, Java, or Scala
Experience with data integration tools, APIs, and real-time data processing
Knowledge of BI tools (Tableau, Power BI) and ETL/ELT frameworks (Talend preferred)
Excellent problem-solving and stakeholder communication skills

Why Join Us?

Work on cutting-edge cloud and data projects in a fast-moving, innovative environment
Be part of a collaborative, inclusive, and forward-thinking team
Career growth opportunities, training, and professional development
Influence the future of data strategy and analytics within a leading organisation

Benefits:

Competitive salary
10% bonus
Excellent 10.5% company pension contribution
Comprehensive healthcare package
Flexible working arrangements - Milton Keynes (Hybrid) or remote working / home based within the UK with adhoc and occasional office visits
Professional development opportunities
Modern tech stack and innovation-focused environment
27 days annual leave (plus bank holidays) and a holiday purchase scheme

Life Assurance (x4 salary), Subsidised private medical insurance, Cycle to Work scheme, Employee discounts platform, including gym discounts, 24/7 employee assistance programme supporting your mental wellbeing, 2 days volunteer leave, etc..

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