Data Engineer

Digi2Al Limited

Plymouth

Sur place

GBP 50 000 - 70 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Bonus
Pension
Healthcare
Employee Ownership Trust

Résumé du poste

Digi2Al Limited is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines. You will collaborate with data engineers, analysts, and business stakeholders to translate requirements into efficient technical solutions.

You will mentor junior engineers, champion best practices, and actively participate in pair programming and planning sessions to enhance team skills and deliver high-quality results.

Qualifications

  • Strong proficiency in Python and at least one key programming language used in data engineering (PySpark/SQL strongly preferred, Java/Scala beneficial).
  • Solid understanding of data modelling for analytical/operational use cases.
  • Deep understanding of ETL/ELT principles, patterns, and best practices for robust data integration solutions.
  • Experience with large, complex datasets and distributed data processing concepts.
  • Excellent analytical and critical thinking skills with ability to troubleshoot complex issues.

Responsabilités

  • Lead design, development, and maintenance of robust, scalable data pipelines and solutions.
  • Collaborate with data engineers, analysts, and stakeholders to translate requirements into technical solutions.
  • Mentor junior data engineers, promote best practices, and participate in pair programming and planning sessions.
  • Contribute to team growth and knowledge sharing, ensuring high-quality deliverables.
  • Maintain clear documentation and strong version control practices.

Connaissances

Python
PySpark/SQL
Data modelling
ETL/ELT
Distributed processing
Analytical thinking
Communication
Mentorship
Git
Autonomy

Outils

Git

Description du poste

Company

We are a full service digital partner to our clients, working with them at every stage of a project lifecycle. We cover diverse problems including data science, artificial intelligence, digital first and digital by default.

From discovering user needs, designing and prototyping personalised experiences, to helping them build contemporary digital services, we are experts in user research and experience, service design, front and back-end development, secure continuous deployment on cloud, DevOps and more. Our specialists are familiar with the breadth of contemporary technology patterns. Our programmes have developed new pattern libraries, design systems and development aspects, many of which are open source. We support the transition to live running, for critical services dealing with millions of transactions every day, including 24/7 support.

We are experts in agile working, helping our clients work in an agile user centred way; transparent, open and honest.

As a Data Engineer, you will take a leading role in designing, developing, implementing, and maintaining robust, scalable data pipelines and solutions. You will tackle complex data challenges, working closely with data engineers, analysts, and business stakeholders to translate requirements into effective technical solutions.

Crucially, this role involves actively contributing to the team's growth and fostering a collaborative, knowledge-sharing environment. You will mentor junior data engineers, champion best practices, and participate actively in pair programming and planning sessions to enhance collective skills and ensure high-quality deliverables.

Requirements
  • Data Engineering: Strong proficiency in Python and at least one key programming language commonly used in data engineering (PySpark/SQL strongly preferred, Java/Scala beneficial).
  • Data Modelling: Solid understanding and practical experience in designing and implementing effective data models (e.g., relational, dimensional) suitable for analytical and operational use cases.
  • ETL/ELT Development: Deep understanding of ETL/ELT principles, patterns, and best practices for building robust data integration solutions.
  • Large-Scale Data Handling: Experience working with large, complex datasets and understanding distributed data processing concepts.
  • Problem Solving: Excellent analytical and critical thinking skills with a proven ability to troubleshoot complex technical issues independently.
  • Communication & Collaboration: Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences. Proven ability to work effectively within a team environment and write high quality documentation.
  • Mentorship Aptitude: Demonstrable experience or a strong, genuine interest in mentoring junior colleagues, sharing knowledge, and fostering a supportive team culture. Experience with or enthusiasm for pair programming is essential.
  • Version Control: Proficiency with Git for code management and collaboration.
  • Demonstrable experience showing autonomy, influence, complexity management, strong business skills, and deep knowledge in data engineering.
  • Minimum security clearance: SC preferred but can sponsor
  • Nationality caveats for Security requirements: Sole British Citizen
Benefits

Salary is negotiable depending on experience.

The role comes with bonus, pension, healthcare and participation in Employee Ownership Trust

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