Senior Data Analytics Engineer

Jersey Electricity Plc; United Kingdom; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading energy provider in the Channel Islands is looking for a Senior Data Analytics Engineer to join their Data & Analytics team. The successful candidate will design and optimize data pipelines, focusing on the Microsoft Azure analytics stack to provide actionable insights. This full-time role requires strong SQL and Python skills, as well as experience with Azure Data Factory and Power BI. They offer a comprehensive benefits package including financial perks and a family-friendly work environment.

Benefits

Free onsite parking

Discounts at Powerhouse shop

Competitive salaries

Qualifications

• Proven experience in data analytics and engineering, ideally with Azure technologies.
• Strong problem-solving skills and ability to translate requirements into solutions.
• Experience with CI/CD pipelines and data governance frameworks preferred.

Responsibilities

• Design, build, and support data ingestion and export pipelines across Azure.
• Perform complex data analysis to support business decision-making.
• Collaborate with cross-functional teams to deliver effective data solutions.

Skills

Strong SQL skills

Python programming

Data modeling techniques

Tools

Azure Data Factory

Power BI

Azure Synapse Analytics

Azure DevOps

SQL Server

Job description

Senior Data Analytics Engineer

Application Deadline: 25 January 2026

Department: Technology

Employment Type: Full Time

Location: Jersey, Channel Islands

Reporting To: Charles Roberston

Description

We are seeking a highly skilled Senior Data Analytics Engineer to join our Data & Analytics team. This role is central to designing, building, and optimising data pipelines, models, and semantic layers that empower the business with timely, trusted, and actionable insights. You will be a technical expert in the Microsoft Azure analytics stack and a key contributor to our enterprise data platform.

Key Responsibilities

Data Engineering & Pipeline Development

• Design, build, and support data ingestion and export pipelines across the Azure data platform to enable reliable data movement into and out of the data lake
• Develop and enhance ETL/ELT processes using tools such as Azure Data Factory and Azure Fabric
• Monitor, maintain, and troubleshoot data workflows to ensure performance, reliability, and availability

Data Modelling & Transformations

• Design and develop scalable data models within the gold layer of the data lake to support reporting, self-service BI, and advanced analytics
• Apply industry-standard data modelling practices to promote consistency, reusability, and maintainability

Semantic Layer & Analytics Enablement

• Build and maintain semantic models using Power BI (Tabular)
• Work closely with business analysts to deliver governed, high-quality, and performant analytical datasets

Advanced Data Analysis

• Perform complex data analysis to support business decision-making and strategic initiatives
• Develop prototypes, proofs of concept, and exploratory analyses to validate business ideas and hypotheses

Data Governance & Quality

• Support the implementation of data governance frameworks in line with organisational and regulatory requirements
• Maintain documentation, metadata, and data lineage for pipelines and datasets
• Assist with data quality monitoring, profiling, and improvement activities

Collaboration & Continuous Improvement

• Collaborate with cross-functional teams, including BI developers, data analysts, and subject matter experts, to understand requirements and deliver effective solutions
• Contribute to data engineering standards, best practices, and automation initiatives
• Provide guidance and mentoring to junior team members and contribute to continuous improvement across the data platform

Skills, Knowledge & Expertise

Skills

• Apply strong SQL skills to support data manipulation, optimisation, and modelling activities
• Use Python to support data processing, automation, and scripting tasks
• Apply data modelling techniques across logical, physical, and semantic layers

Technical Expertise (Microsoft Azure Stack)

• Work with Azure Data Factory to orchestrate pipelines, develop mapping data flows, and manage integration runtimes
• Use Azure Key Vault to support secure management of secrets and credentials
• Develop and query analytical solutions using Azure Synapse Analytics, including serverless SQL and dedicated pools
• Use Azure DevOps to support source control, CI/CD pipelines, and deployment automation
• Leverage Azure Notebooks for prototyping, data exploration, and engineering tasks
• Develop and optimise relational database solutions using SQL Server, including stored procedures and performance tuning
• Build and maintain tabular semantic models using DAX
• Develop and optimise datasets and reports using Power BI
• Use Excel to support advanced analysis, data exploration, and stakeholder engagement

Preferred Experience

• Leading role architecting and developing lakehouse architectures and technologies such as Delta Lake
• Understanding of data governance frameworks and concepts
• Experience building CI/CD pipelines and practices for data engineering workloads
• Extensive experience working in analytics, business intelligence, or data science environments

Personal Attributes

• Demonstrate strong problem-solving skills and the ability to translate business requirements into technical solutions
• Communicate effectively with a range of stakeholders
• Work collaboratively with a proactive approach to improvement and innovation
• Maintain a high level of attention to detail, quality, and reliability

Job Benefits

At Jersey Electricity we provide a complete benefit package to ensure all elements of your wellbeing are supported. Financial benefits include free onsite parking, discount within our Powerhouse shop and competitive salaries. We are family‑friendly, believe in life‑work blend and strive to give you everything you need to both love your job, do excellent work, and enjoy your free time with family and friends.