We are a technology business operating in the global energy sector.
ENSEK has become the go-to option for top energy suppliers across the globe. Why? Because our technology offers a significant step change away from the legacy systems that have historically dominated the market. It’s also much more cost-effective to adopt the ENSEK solution, with no loss in customer service or standards.
But the biggest reason why ENSEK is the best choice in energy supplier software is because of the people who work here and their enthusiasm, energy, and support for their colleagues. All our clients comment on our great people. Our people are our superpower.
This is where you come in.
ROLE SUMMARY
Reporting to the Engineering Manager, Data Engineers are responsible for working together to deliver clean, maintainable code. As part of a squad, you will contribute to the design and implementation of ETL solutions for our data warehouse. You will demonstrate your knowledge and practical experience, follow coding standards, and participate in daily scrums, sprint reviews, retrospectives, and refinements.
The level of technical skill, competency, and experience varies according to the role level – please refer to the competency framework for details.
KEY RESPONSIBILITIES
1. Working with the Product Owner to define PBIs and subtasks for business-driven work or technical debt, ensuring non-functional requirements are captured appropriately.
2. Collaborating with Data Architects to understand technical context and review deliverables for alignment and confidence in functionality.
3. Writing new software and modifying existing software to meet new business or technical requirements or fix defects, either autonomously or with squad members.
4. Ensuring data solutions are designed and maintained for optimal performance, scalability, and reliability.
5. Creating, optimizing, and maintaining logical and physical data models, including data warehouses and data lakes.
6. Designing and managing data integration processes for seamless data flow between systems.
7. Identifying and troubleshooting functional or non-functional issues, raising clearly defined defects as appropriate.
8. Working with the Engineering Manager and Product Manager to adopt tools and methodologies supporting high-quality software delivery.
9. Aligning with Data Scientists, Data Engineers, Data Analysts, and other stakeholders to understand and address data needs across ENSEK.
10. Learning and developing expertise within the data engineering domain.
11. Proactively suggesting improvements to data engineering processes at ENSEK.
12. Promoting a positive 'can do' attitude, building collaborative relationships, and sharing skills and knowledge.
13. Adding value to our clients, colleagues, and stakeholders by practicing and promoting ENSEK values.
SKILLS
1. Experience with SQL queries, performance tuning, and investigative processes.
2. Experience with ETL processes and tools.
3. Enthusiastic about technology and data engineering best practices.
4. Experience with AWS, data warehousing, and data lake solutions (Databricks) is advantageous.
5. Strong problem-solving and analytical skills with attention to detail.
6. Excellent verbal and written communication skills.
7. Team player with experience working in remote, multi-disciplinary teams.
8. Detail-oriented with adherence to policies and governance applicable to the role.
9. A degree in Computer Science or equivalent work experience is advantageous but not essential.
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