Power BI Engineer

ZipRecruiter
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Engineer - Power BI

Data Engineer

PowerApps Developer (Engineering, Construction)

Manufacturing Data Engineer

Senior Data Engineer

Job Description

Ready to utilise yourskills in data modelling and integration?

Join us as aPower BI Developer.

Careers at TCS: It means more

TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.

  • Grow your career, while being exposed to new technologies.
  • Be part of an exciting team where you will be challenged every day.
  • Gain access to endless learning opportunities.

The Role

As aPower BI Developer, you will work on services related to delivering business intelligence and leading BI software development. In this role, you will present Power BI reports and be involved in transforming raw data into cohesive, valuable reports capturing meaningful business insights.

Key responsibilities:

  • Data Modelling and Integration: Develop and maintain complex data models, including establishing relationships, hierarchies, and calculated columns.
  • Manage data integration tasks, including data source connections and data transformation processes.
  • Report and Dashboard Development: Independently design and create interactive and visually compelling reports and dashboards using Power BI Desktop.
  • Implement advanced features like bookmarks, drill-through actions, custom themes, and custom visuals.
  • Advanced Data Analysis: Perform complex data analysis tasks usingDAX(Data Analysis Expressions) functions to create calculated measures and solve intricate business problems.
  • Performance Optimization: Optimize report and dashboard performance by improving data queries, data model efficiency, and report rendering speed.
  • Data Transformation and ETL: Handle complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources.
  • Data Governance and Security: Implement data governance practices, including data access controls and role-level security.
  • Collaboration and Requirements Gathering: Collaborate closely with business analysts, stakeholders, and end-users to gather and refine requirements for reports and dashboards.

Your Profile

Essential skills/knowledge/experience:

  • Migration of Excel reports to PBI.
  • Establishing and troubleshooting data connections through our gateway to various data sources.
  • Creating and maintaining complex data models.
  • Designing, building, and deploying Power BI reports and dashboards based on business needs.
  • Stakeholder collaboration – Work closely with stakeholders to understand data and reporting needs.
  • Monitoring and optimizing Power BI performance.
  • Updating the Data Catalogue.

Desirable skills/knowledge/experience:

  • Hands-on experience working with Power BI in a business intelligence or data analyst role.
  • Strong understanding of Power BI desktop, Power BI service, and Power Query.
  • Proficiency in data modeling, DAX Expressions, and visualization best practices.
  • Experience with RLS and automated report refresh schedules in Power BI.
  • Strong SQL skills.

Rewards & Benefits

TCS is consistently voted as a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.

Wellbeing

Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010. We believe in building and sustaining a culture of equity and belonging where everyone can thrive.

If you are an applicant who needs any adjustments to the application process or interview, please contact usator callTCS London Office.

Next Steps

Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.

Join us and do more of what matters. Apply online now.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.