Data Engineer

Ignite Digital; Milton Keynes; Hybrid; GBP 50,000 - 75,000; Full time

Benefits offered by this job

10% bonus

10.5% company pension contribution

Comprehensive healthcare package

Career growth opportunities

Flexible working arrangements

27 days annual leave plus bank holidays

Life Assurance (×4 salary)

Subsidised private medical insurance

Cycle-to-work scheme

Employee discounts platform

Job summary

A forward-thinking organisation in financial services seeks a Data Engineer to develop and optimise data pipelines using Snowflake and cloud technologies. The role involves designing scalable ETL/ELT processes and improving data capabilities with AWS and Azure. Ideal candidates will have strong SQL and programming skills, along with experience in data warehousing and real-time data processing. This opportunity offers hybrid working, career growth, and a comprehensive benefits package including a 10% bonus, pension contributions, and annual leave.

Qualifications

• 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.

Responsibilities

• Develop and maintain ETL/ELT processes for data integration.
• Design and optimise data models and schemas for Snowflake.
• Collaborate with teams for data availability and reporting.

Skills

Data engineering

Snowflake

AWS

Azure

SQL

Python

Java

Scala

ETL/ELT frameworks

BI tools

Job description

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
• 10% bonus
• Excellent 10.5% company pension contributionComprehensive healthcare package
• Flexible working arrangements – Milton Keynes (Hybrid) or remote working / home based within the UK with ad hoc and occasional office visits
• Modern tech stack and innovation‑focused environment
• 27 days annual leave (plus bank holidays) and a holiday purchase scheme
• Life Assurance (×4 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.