Software Engineering Manager - Data

ENSEK is at an exciting inflection point as we scale at pace towards new international horizons. If you’re motivated by solving complex, real‑world problems and want to lead the teams that build reliable, resilient platform services to accelerate the global energy transition, you’ll feel right at home with us.

About the role

We’re looking for a Software Engineering Manager – Data to lead critical data engineering teams at ENSEK. While the title says Software Engineering Manager, this role is best described as a Data Engineering Manager, focused on building and scaling high‑impact data products rather than application development.

Our data platform sits at the core of ENSEK’s mission—processing millions of daily industry flows and meter reads to generate trusted, analytics‑ready insights for energy suppliers navigating the digital energy transition. You’ll lead teams responsible for transforming complex, large‑scale datasets into products that directly influence customer decisions and business outcomes.

You’ll manage teams working across core data products and finance assurance, operating at significant scale and complexity, and bringing strong product thinking to how data is designed, built and consumed.

Key responsibilities

Lead and manage team of data engineers, across either core data products or finance assurance

Own delivery of scalable, well‑governed data products used internally and by ENSEK customers

Oversee data platform architecture, ingestion pipelines, orchestration and governance frameworks

Ensure data pipelines and models operate efficiently at very large scale and within strict time constraints

Embed strong engineering standards including testing, CI/CD, security and access control

Coach, mentor and develop high‑performing data engineers with a strong product mindset

Key outcomes

Trusted, discoverable and analytics‑ready datasets delivered through Bronze, Silver and Gold layers

A scalable data platform capable of processing hundreds of billions of rows reliably and efficiently

High‑quality operational and financial insights that directly support customer decision‑making

Strong alignment between data engineering, analytics engineering and business teams

Data teams operating with clear ownership, high engineering rigour and measurable business impact

Experience required

Significant experience leading and managing data engineering teams

Deep expertise in cloud data platforms, particularly Databricks and AWS

Strong background in data warehouse architecture, ingestion to Bronze layers and job orchestration

Advanced experience using Spark, including performance tuning at scale

Proven experience implementing data governance, security and access frameworks

Strong analytics engineering experience moving data through Bronze, Silver and Gold layers

Advanced SQL and Python skills, with a focus on optimisation and complex business logic

Experience partnering with analysts and stakeholders to deliver actionable insights

Strong commercial awareness and a clear product mindset