
Highly Skilled Data Professional
24 hours ago
Senior Data Engineer
Job Summary:We are seeking a skilled Senior Data Engineer to join our team. As a key member of our data engineering group, you will be responsible for designing, implementing, and maintaining large-scale data systems.
Key Responsibilities:- Maintain and take ownership of core databases used in real-time and production-critical environments.
- Determine and standardise best practices for database versioning and schema migration processes across applications.
- Implement data maintenance strategies including automated purging, archiving, and index optimisation.
- Develop efficient and reliable data pipelines for energy market and asset telemetry data.
- Define the structure and lifecycle of datasets across Energy Management applications to optimise performance, availability, and cost.
- Support consolidation and simplification of disparate database access patterns into shared, maintainable libraries or services.
- Establish team-wide standards for data ingestion, transformation, storage, and access.
- Partner with engineers and analysts to resolve complex operational issues, understand bottlenecks in data access, and identify opportunities for improvement.
- Mentor junior developers and data practitioners on efficient querying, modelling, and pipeline design.
- Guide the evaluation and integration of modern data tooling, such as orchestration, monitoring, and data warehousing systems.
- 4+ years' experience in data engineering roles, including experience with relational databases in an operations-critical capacity.
- Proven track record designing scalable data architectures across multiple applications or services.
- Strong proficiency in SQL and Python.
- Demonstrated experience implementing schema migration/version control at scale.
- Track record of operating in mature data environments, with established processes for quality, governance, and continuous improvement.
- Strong appetite for software & data quality, implementing modern tooling, and solving problems proactively.
- Hands-on experience with CI/CD, containerisation (e.g., Docker), and deploying data systems in cloud-based environments (Azure, AWS, or equivalent).
- Hands-on experience with data orchestration tools (Dagster, Prefect, Azure data platform, etc.).
- Experience in the energy sector or other real-time operations domains.
- Familiarity with CI/CD, Kubernetes, and infrastructure-as-code approaches to data system deployment.
- Exposure to revenue modelling, time series forecasting, or optimisation pipelines.
- Prior experience establishing data governance frameworks in a scale-up or cross-functional environment.
This is a fantastic opportunity to work with a talented team, develop your skills, and contribute to the growth of our organisation.
What We Offer:- A competitive salary package.
- Ongoing training and professional development opportunities.
- A collaborative and dynamic work environment.
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