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Senior Data Engineer

Engie

Leeds

On-site

GBP 60,000 - 90,000

Yesterday
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Job summary

An established industry player is seeking a Senior Data Engineer to design and maintain robust data systems and pipelines in the cloud. This role involves collaborating with data scientists and analysts to ensure high-quality data accessibility while implementing best practices in data security and compliance. The ideal candidate will have extensive experience with AWS technologies, strong project management skills, and a passion for data-driven decision-making. Join this dynamic team and contribute to shaping the future of energy through innovative data solutions.

Qualifications

  • Proven experience in cloud data platform development and deployment.
  • Strong analytical skills for complex problem-solving and decision-making.

Responsibilities

  • Design and implement scalable data architectures for optimal data flow.
  • Mentor data engineers and support their professional growth.

Skills

Data Management

AWS Data Technologies

Apache Spark

Python (Pandas)

SQL

Project Management

Data Analysis

Change Management

Problem-Solving

Collaboration

Education

Relevant AWS or Microsoft certifications

Experience in Data Management

Tools

AWS S3

AWS Redshift

AWS Glue

AWS Lambda

GitHub

CI/CD

MSBI stack

Job description

NEW OPPORTUNITY: Senior Data Engineer - LEEDS

About Us:

ENGIE is a global leader in low-carbon energy supply and services. We have been active in the UK energy market for over 20 years, focusing on energy storage and renewable energy (solar, wind, biogas), while supplying energy to organisations of all sizes.

We are reshaping the energy future by reconciling economic performance with a positive impact on people and the planet. We are looking for individuals committed to helping turn our vision into reality.


Purpose of the Job:

As a Senior Data Engineer, you will design, build, and maintain robust data systems and pipelines that support data storage, processing, and analysis on the Cloud. You will work with large datasets, ensuring data quality, scalability, and performance, while collaborating closely with data scientists, analysts, and other engineering teams to understand their data needs and provide them with high-quality, accessible data.


Key Accountabilities:
  1. Design and implement scalable, efficient, and secure data architectures, ensuring optimal data flow across systems.
  2. Own development and change projects to ensure requirements are met cost-effectively while minimizing associated risks.
  3. Responsible for cloud data platform development, data modeling, shaping, and technical planning.
  4. Mentor data engineers, supporting their professional growth and development.
  5. Ensure resource requirements are understood and planned/estimated effectively against demand.
  6. Maintain appropriate process procedures, compliance, and service level monitoring, performance reporting, and vendor management.
  7. Implement best practices around data security, privacy, and compliance.
  8. Maintain strong stakeholder relationships to clarify and influence requirements.
  9. Collaborate with external organizations and third-party software/service suppliers for ongoing support, maintenance, and development of systems.
  10. Demonstrate quality focus to ensure solutions are built to an appropriate standard while balancing tight deadlines.
  11. Influence the evolution of business and system requirements and contribute to the design of technical solutions.
  12. Develop unit-tested code and support test cycles, including post-implementation validation.
  13. Contribute to the transition into service and ongoing support of applications, reducing technical debt and rationalizing the technical footprint.
  14. Ensure data systems comply with necessary governance and control requirements.
  15. Deliver high-quality software into production with zero critical and high defects before release.
  16. Maintain secure, accurate, and available company data according to requirements.
  17. Mitigate and manage technical risks and issues on projects and production support.

Knowledge and Skills:
  1. Broad data management technical knowledge across the full data cycle.
  2. Proven experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake Formation, Cloud Formation), GitHub, CI/CD.
  3. Coding experience in Apache Spark, Iceberg, or Python (Pandas).
  4. Experience in change and release management.
  5. Experience in database warehouse design and data modeling.
  6. Experience managing data migration projects.
  7. Cloud data platform development and deployment experience.
  8. Performance tuning experience in various database settings.
  9. Infrastructure as code practices experience.
  10. Strong project and people management skills.
  11. Excellent data development, manipulation, and analysis skills using tools like SQL, Python, AWS services, and the MSBI stack.
  12. Ability to prioritize and be flexible to change priorities at short notice.
  13. Strong commercial acumen and problem-solving skills.
  14. Well-developed and professional communication skills.
  15. Strong analytical skills to create models and analyze data for complex problem-solving and decision-making.
  16. Ability to understand business processes and their technological influences.
  17. Collaborative team player with the ability to learn new technologies, programs, and procedures.

Experience:
  1. Several years of practical experience in a similar environment.
  2. Proven experience in developing, delivering, and maintaining tactical and enterprise data management solutions.
  3. Proven experience in delivering data solutions using cloud platform tools.
  4. Proven experience in assessing the impact of proposed changes on production solutions.
  5. Proven experience in managing and developing a team of technical experts.
  6. Exposure to energy markets and the energy supply industry sector.
  7. Experience in developing and implementing operational processes and procedures.

Qualifications:
  1. Relevant AWS or Microsoft certifications are advantageous but not essential.

Apply Now:

If you are a proactive and experienced Senior Data Engineer looking to make a difference in the energy sector, we would love to hear from you. Apply now to join our dynamic team at Engie and help us shape the future of energy.


Business Unit: GEMS
Division: GEMS - BP UK SUPPLY
Legal Entity: ENGIE POWER LIMITED
Contract Type: Permanent
Job Type: Full - Time
Professional Experience: Senior (experience >15 years)
Education Level: Other
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