Senior Data Engineer in City of London

New Today

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job Description
We are looking for Senior Data Engineer at London, UK – 2 days per week Onsite
Security Clearance: Active SC Clearance is must have
Job Description:
Development of data products such as data warehousing, data models, reporting, and business applications at scale to support improved business outcomes.
Provision of specialist skills in Microsoft BI Stack (Azure SQL, Fabric, Synapse Analytics, Power BI).
Understanding in Power Platform to deliver new business intelligence solutions and maintain existing solutions.
Analysis of data focusing on descriptive, diagnostic, and predictive analytics.
Provision of insights to inform decision-makers and other stakeholders.
Provision of a managed service to support projects and BAU activities.
Governance of data quality across systems to ensure high standards are achieved and maintained, providing high levels of assurance.
Technical Skills:
ETL/ELT development using tools such as Azure Data Factory.
Extensive experience with SQL Server and Data Warehousing.
Strong understanding and experience working with Microsoft Fabric.
Experience working with large and complex datasets.
Data Modelling and Design expertise.
Basic DBA skills.
Report development in Power BI.
Experience with data lake and cloud data warehousing.
ServiceNow experience is an advantage.
Code version control via GitHub or similar would be an advantage.
CI/CD experience would be an advantage.
Microsoft certification in Fabric or Power BI is an advantage.
Key Responsibilities:
As a Senior Data Engineer, you will:
Implement data flows to connect operational systems, analytics platforms, and business intelligence (BI) systems.
Document source-to-target mappings and define data architecture.
Re-engineer manual data flows to enable scalability and reusability.
Support the build of data streaming and batch processing systems.
Write ETL (extract, transform, load) scripts and code to ensure optimal ETL performance.
Develop reusable business intelligence reports and dashboards.
Build accessible and governed data solutions for analysis.
Recognise opportunities to reuse existing data flows and optimise processes.
Lead the implementation of data streaming solutions and best practices.
Optimise code and ensure high-performance data processing.
Lead work on database management, ensuring security, scalability, and reliability.
Person Specification (Essential)
Communicating between the technical and non-technical: Effectively communicate with stakeholders across various technical and business functions. Support and facilitate discussions within multidisciplinary teams while managing differing perspectives.
Data analysis and synthesis: Conduct data profiling and source system analysis. Present clear insights to support data-driven decision-making.
Data development process: Design, build, and test complex and large-scale data products. Lead teams to complete data integration services.
Data innovation: Stay updated on emerging trends in data tools, analysis techniques, and data usage to drive innovation.
Data integration design: Select and implement the appropriate technologies to deliver resilient, scalable, and future-proofed data solutions.
Data modelling: Produce relevant data models across multiple subject areas. Understand and apply industry-recognised data modelling patterns and standards.
Metadata management: Design and maintain metadata repositories, ensuring effective storage and management of metadata assets.
Problem resolution (data): Diagnose and resolve data-related issues in databases, data processes, and services. Implement preventative measures to enhance data reliability.
Programming and build (data engineering): Use best practices to design, code, test, and document programs and scripts. Collaborate with teams to refine requirements and specifications.
Technical understanding: Apply core technical concepts to design and optimise data solutions.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
Apply
Location:
City Of London
Job Type:
FullTime

We found some similar jobs based on your search