Data Engineer | Data Analytics | ETL Processes

Looking to advance your career as an Data Engineer? Join a growing, dynamic technology company where you’ll play a key role in shaping data strategies, developing robust data pipelines, and delivering actionable insights that drive business decisions. This is a fantastic opportunity for someone who thrives on managing ETL processes, optimizing data workflows, and working with key stakeholders to enhance data capabilities across the organization.

Location: Felixstowe (no hybrid working, sorry)
Salary: Up to £62,500 + generous benefits package
Process: Two-stage interview process, including a practical test to showcase your expertise.

Key Responsibilities:

• Design, develop, and maintain data pipelines and ETL processes to transform raw data into actionable insights.
• Lead the implementation of the organisation’s Microsoft Fabric adoption roadmap and establish a Centre of Excellence.
• Work closely with data owners, analysts, scientists, and engineers to deliver tailored data solutions.
• Optimize data storage, retrieval processes, and performance for enhanced business insights.
• Ensure data security and uphold compliance with relevant regulations.
• Mentor junior team members and provide technical guidance.
• Collaborate with internal and external stakeholders on data collection and MI/BI development.

Key Skills & Experience:

• Proven experience in data engineering, with a focus on ETL processes, data warehousing, and data pipelines.
• Strong knowledge of Power BI, MS SQL Server, and SQL for querying, summarizing, and retrieving data.
• Proficiency in data modelling, report design, and familiarity with programming tools like Python or R.
• Experience with data governance and knowledge of machine learning applications in data engineering.
• Proficiency in programming languages like DAX and PySpark.
• A Bachelor’s degree in Computer Science, Information Technology, or equivalent relevant experience is required. A Master’s degree is preferred.
• Strong analytical skills and the ability to spot anomalies and trends in large datasets.

What’s in it for you?

• Salary up to £62,500 depending on skills and experience.
• 24 Days Annual Leave.
• Generous Pension Contribution and Life Cover.
• Private Health Care.
• Exclusive Company-wide ‘3’ Mobile Discounts.
• Discretionary Bonus.
• Enhanced Maternity/Paternity Pay.
• Cycle to Work scheme.
• Employee Assistance Programme (EAP).
• Long Service Awards.
• Diversity & Inclusion Working Groups including Women’s Network, PRIDE, and Well-being.
• Employer Supported Volunteering Programme.

If you’re ready to take on new challenges and work in a dynamic and supportive environment, apply today!

Data Engineering | ETL | Data Warehousing | Power BI | MS SQL Server | Python | R | DAX | PySpark