About This Role
You’ll become versatile in a wide array of tools across data-focused coding, data visualisation, Cloud Services, Big Data and Machine Learning. You will be equipped to work within a variety of roles including but not limited to Data Engineer, Data Analyst, Data Scientist, and Information Engineer.
You will design, build, maintain, and troubleshoot the data pipelines that enable organizations to store, process, and analyse their data. You will ensure data reliability through testing and debugging, optimise pipelines for scalability and performance, and handle large sets of structured and unstructured data, ensuring it is organised and available for further analysis.
Working collaboratively with engineers, developers, data scientists, analysts, and stakeholders to understand data needs is essential.
Responsibilities
- Design, build, maintain, and troubleshoot data pipelines.
- Test and debug pipelines to ensure data reliability.
- Optimize pipelines for scalability and performance.
- Handle large structured and unstructured data sets.
- Collaborate with cross-functional teams.
- Willingness to relocate to client sites after training.
Qualifications
- Proficiency in Python or a comparable language.
- Passion for technology and eagerness to learn advanced programme development.
Core Values
- Empathy and diversity: Integrity, respect, and a commitment to inclusivity.
- Drive: Goal-oriented mindset with pride in exceeding targets.
- Collaboration: Team-focused approach, fostering positive relationships.
- Innovation: Curiosity, creativity, and openness to diverse ideas.
- Adaptability: Composure in the face of change.
Legal and Relocation Requirements
All candidates must be eligible to work in the UK from the start of the contract (British or Irish Citizenship, EU Settled Status, or Permanent Visa Holder). Visa sponsorships are not offered, and Graduate or PSW Visas cannot be accepted. Remote working cannot be guaranteed.
Benefits
- 20 days annual leave + bank holidays.
- An extra day off for your birthday.
- Pension.
- Eye care.
- Death in service cover.
- Cycle to work scheme.
- Season ticket loan.
- Employee assistance program.
- Yearly budget for personal development.
- Access to alumni and community networks.
- Opportunities to be brand ambassadors.
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