Lead Data Engineer

ENSEK; Nottingham; On-site; GBP 55,000 - 75,000; Full time

Job summary

ENSEK, a technology leader in the energy sector, is seeking a Lead Data Engineer to manage the organization's data assets and collaborate with cross-functional teams. In this role, you will leverage your expertise in data engineering, ensure high-quality code, and guide your team towards best practices. If you are passionate about data and innovation in a dynamic environment, this opportunity is for you.

Qualifications

• Experienced Data Engineer in a delivery-focused environment.
• Strong analytical skills for complex business problems.
• Knowledge of software development lifecycle and agile methodologies.

Responsibilities

• Design and manage data solutions for optimal performance and reliability.
• Collaborate with teams to define data needs and provide solutions.
• Mentor Data Engineers and promote best practices.

Skills

Analytical skills

Communication skills

Teamwork

Job description

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 is a significant step change away from the legacy systems that have historically dominated the market. It’s 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 Data Engineering Manager, the Lead Data Engineers are responsible for working together to write clean code and deliver optimal outcomes. As part of the squad, you will be responsible for designing, creating, deploying, and managing the organisation's data assets. You will demonstrate your knowledge and practical experience, following coding standards and contributing to daily scrums, sprint reviews, retrospectives, and refinements.

In your lead position, you will be responsible for guiding and positively influencing other members of the data engineering squad to follow the appropriate PR, testing, and code review processes with the ultimate goal of writing excellent quality, clean, and performant code.

Key Responsibilities

• Work with Data Architects to review and refine deliverables, ensuring confidence in the technical delivery of functionality.
• Ensure data solutions are designed and maintained for optimal performance, scalability, and reliability.
• Create, optimize, 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.
• Contribute to technical discussions influencing technical decisions for the squad.
• Provide regular status updates on progress, escalate risks or issues as needed.
• Work with squad members in pair programming or solo to deliver software or configure services.
• Participate in agile team activities, working closely with Product Owners and initiative meetings.
• Collaborate with Data Scientists, Data Engineers, Business Analysts, and stakeholders to understand data needs and provide solutions.
• Continuously learn and develop your expertise within the engineering function.
• Proactively suggest improvements to engineering processes at ENSEK.
• Promote a positive attitude, build collaborative relationships, and mentor Data Engineers.
• Add value through practicing and promoting ENSEK values.

Technical Skills

• Experienced Data Engineer in a delivery-focused environment.
• Strong analytical skills for complex business problems and technical solutions.
• Knowledge of the software development lifecycle, testing, and end-to-end delivery in Agile.
• Extensive experience with SQL queries, performance tuning, and investigative processes.
• Experience with data warehousing and data lake solutions.
• Familiarity with ETL processes and tools.
• Databricks experience is advantageous.

Soft Skills

• Strong communication skills for articulating status, risks, and issues.
• Valuing teamwork and experience working remotely in a multi-disciplinary team is advantageous.
• Experience in Energy/Utilities sector is advantageous but not essential.