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Data Engineer | Data Analytics | ETL Processes | Data Warehousing | Power BI
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. Sponsorship potientally available) Salary: Up to £62,500 + generous benefits packageProcess: 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
