ENSEK Nottingham, England, United Kingdom
ENSEK Nottingham, England, United Kingdom
1 week ago Be among the first 25 applicants
We are a technology business operating in the global energy sector.
ENSEK have become the go-to option for top energy suppliers across the globe. Why? Because our technology is a significant step change away from the legacy systems that have historically dominated the market. Its also massively cheaper to adopt the ENSEK solution, with no loss in customer service or standards.
But by far the biggest reason why ENSEK is the best choice in energy supplier software, is because of the people who work here and their endless enthusiasm, energy, and the way they support their colleagues. All our clients comment on what great people we have. Our people are our superpower.
That 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 be responsible for contributing towards the design and implementation of ETL solutions for our data warehouse. You will be demonstrating your knowledge and practical experience, following coding standards and contributing to daily scrums, sprint reviews, retrospectives and refinements.
The level of technical skill, competency, and experience varies according to the level of the role please refer to the competency framework for details.
Key Responsibilities
* Working with the Product Owner to help define PBIs and subtasks for business-driven work or technical debt items, ensuring non-functional requirements are captured appropriately.
* Working with the Data Architects to understand the technical context and direction influencing to your work, and to review and refine your deliverables to ensure alignment with this direction and provide confidence in the technical delivery of functionality.
* Working autonomously or with squad members to write new software and modify existing software to address new business or technical requirements or to fix defects.
* Ensure data solutions are designed and maintained for optimal performance, scalability, and reliability.
* Create, optimise, and maintain logical and physical data models, including data warehouses and data lakes.
* Design and manage the data integration process, ensuring seamless data flow between systems.
* Identifying and troubleshooting functional or non-functional issues and raising clearly defined defects as appropriate.
* Working with the Engineering Manager and the Product Manager to adopt tools and methodologies to support the delivery of high-quality software.
* Align with Data Scientists, Data Engineers, Data Analysts, and other stakeholders to understand data needs across ENSEK and provide effective solutions.
* Learning and developing your area of knowledge and domain expertise within the data engineering function.
* Proactively contributing to and suggesting ways of improving data engineering processes at ENSEK.
* Promoting and maintaining a positive can do attitude, building collaborative working relationships with the whole engineering squad and sharing skills and knowledge.
* Adding value to the experience of our clients, colleagues and other relevant stakeholders through practicing and promoting the ENSEK values.
Skills
* Experience with SQL queries, performance, and investigative processes
* Experience with ETL processes and tools
* Enthusiastic and passionate about technology and data engineering best practices
* Experience with AWS, data warehousing, and data lake solutions (Databricks) would be advantageous
* Good problem-solving and analytical skills with an eye for detail
* Strong verbal and written communication skills
* Team player valuing the importance of teamwork and experience of working as part of a remote, multi-disciplined team
* Detail orientated with a strict adherence to policies and governance which are applicable to the role
* Degree in Computer Science would be advantageous but not essential or equivalent work experience
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Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Contract
Job function
* Job function
Information Technology
* Industries
Data Infrastructure and Analytics
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