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Data Engineer

Role overview

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
  • Experience with data integration tools, APIs, and real-time data processing

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

About the company

Ignite Digital Talent logo

Ignite Digital Talent

Staffing & Recruiting

At Ignite Digital Talent, we do digital recruitment properly. As a progressive leader in talent acquisition and talent solutions, we give clients an edge through a distinctive partnering approach and by finding them exceptional data, digital and technology people to power their businesses. At the same time, our candidates value the expertise and care that’s helped us create a leading digital talent community.Our talent solutions help our clients and candidates succeed in the digital age. Our in-depth expertise in digital, data and technology helps us attract hard-to-find talent. Equally, our focus on consulting and delivering talent solutions rather than simply filling vacancies means we’re valued as a forward-thinking talent acquisition partner.Together, this specialist reputation and straight-forward collaborative approach mean we’re able to add lasting value to both our clients and candidates. Whether we’re working with individuals or organisations, Ignite powers digital progress.Contact us: 0117 403 1448 / 0203 795 5035

Company details

Company typeStartup
IndustryStaffing & Recruiting
Company size2 - 10

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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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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