Data Engineer

Ignite Digital

Milton Keynes, UK

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Amazon S3 Microsoft Azure Cloud Computing Cloud Database Computer Programming Data Architecture Information Engineering Data Integration Extract Transform Load (ETL)

+17 more

Data Transformation Data Warehousing Python (Programming Language) Power BI Standard Sql Azure Data Lake Tableau (Software) Talend Unstructured Data Data Processing System Availability Snowflake Apache Spark Data Strategy Data Lakehouse Stream Processing Data Pipelines

Job description

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., 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., * 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, * 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.

Requirements

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