Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer - Power BI

Watford
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Title: Data Engineer - Power BI
Location: Either Astral House, Imperial Way, Watford WD24 4WW or Albion House, Springfield Road, Horsham RH12 2RW
Start Date: 28 April 2025
Contract Length: 1 Month
Working Hours: 40 hours per week (Monday to Friday, 09:00 start)
Pay Rate: 400.00 to 500.00 per day (depending on experience)
CVs to be sent to:

Role Summary
The Data Engineer - Power BI is responsible for supporting the strategic design and implementation of Business Intelligence reporting services. This includes integration with databases and data warehouses, gathering requirements, designing, and rolling out BI solutions to end users. The role also involves managing incidents, problems, and changes related to BI products and analysis services, while ensuring high levels of availability through support and testing functions.

Key Responsibilities

Strategy and Planning

Engage with stakeholders across the business to understand report development opportunities and change management needs

Ensure maintenance of and adherence to policies and processes relevant to BI activities

Acquisition and Deployment

Analyse user requirements and design functional BI reports accordingly

Operational Management

Develop reports using Power BI, BIRT, SQL, DB2, TOAD, and SQL Server

Provide operational support, maintenance and administration for deployed BI solutions, in line with departmental standards and KPIs

Design, code, test and document new or modified BI reports

Conduct responsibilities in alignment with organisational development methodologies and SDLC practices

Use analytical techniques and visualisation tools such as Power BI, Power Pivot, Power View and Excel to interpret data

Identify and interpret trends or patterns in complex datasets

Experience Required

Minimum five years' experience in a BI development role

Minimum two years' experience in structured and managed ICT service environments

Education

Degree in IT or a related field (desirable)

Knowledge, Skills and Competencies

Essential

Report development using Power BI, DAX, R Script or Cognos

Attention to detail

Ability to work independently with minimal supervision

Initiative and ability to meet deadlines

Desirable

Database design and development including fact and dimension modelling using Microsoft Azure SQL Server or Microsoft SQL Server

Deployment experience in DEV, UAT and PROD environments using Visual Studio and Azure DevOps

Familiarity with Microsoft Office products

Experience with Windows Server 2012 or 2016 and Active Directory

Knowledge of release management best practices

Strong communication and documentation skills

Personal Attributes

Positive, tenacious and dedicated

Open and honest communicator

Collaborative and team-oriented

Flexible and adaptable in working approach

Security-conscious mindset

Patient and supportive in team interactions

If you are an experienced BI professional with strong Power BI expertise and a proactive attitude, we welcome your application.

To apply, please email your CV to

Resourcing Group is acting as an Employment Business in relation to this vacancy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.