Senior Data Engineer

Fruition Group
Ipswich, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 70K

Job location

Ipswich, United Kingdom

Tech stack

Agile Methodologies
Artificial Intelligence
Data Governance
ETL
Data Systems
Data Warehousing
DevOps
Python
Scrum
SQL Databases
Microsoft Fabric
PySpark
Star Schema
low-code
Data Pipelines
Databricks

Job description

The role offers true ownership, allowing you to take projects end-to-end while working with modern technologies such as Microsoft Fabric, Databricks, and Python in a collaborative, forward-thinking environment. Responsibilities

You will design, build, and optimise data pipelines and integration solutions that support reporting, analytics, and business operations. This includes developing ETL/ELT workflows using both low-code tools and code-based approaches (SQL, Python, PySpark), ensuring performance, scalability, and reliability across the data platform.

You will take ownership of data modelling and architecture, designing scalable data warehouse and lakehouse structures, including dimensional models and medallion architectures. You'll ensure data is structured effectively for analytics, reporting, and future AI-driven use cases.

The role also involves managing the full project life cycle, from design through to deployment and support, implementing CI/CD pipelines, maintaining documentation, and ensuring strong data governance, quality, and security standards. You'll work closely with stakeholders across the business to translate requirements into robust data solutions.

Requirements

  • Proven experience as a Data Engineer delivering end-to-end data solutions
  • Strong experience with Microsoft Fabric, Databricks, or similar platforms
  • Solid understanding of data modelling (star schema, dimensional modelling, lakehouse design)
  • Experience building and optimising ETL/ELT pipelines using SQL, Python, and/or PySpark
  • Knowledge of data governance, quality, and security best practices
  • Experience implementing CI/CD pipelines and DevOps practices
  • Ability to work independently and manage full project life cycles
  • Strong analytical, problem-solving, and stakeholder engagement skills
  • Experience working in Agile, SCRUM, or Kanban environments

Benefits & conditions

You'll have the opportunity to take real ownership of a modern data platform, working with cutting-edge tools while influencing how data is used across the organisation. Alongside a competitive salary, you'll benefit from a supportive and collaborative environment, opportunities for continuous learning, and the chance to work on impactful projects that drive business value.

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