Advanced Power BI / SQL - Cloud Software Reporting/Data Engineer (ML/AI/API) Ref 1203

Interface Recruitment UK
Leeds
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Analyst

Data Analyst - Contact Centre & Workforce Planning Analytics

Data Analyst - Sc cleared

Data Analyst - Aerospace

Data Engineer - Design Configuration

Advanced Power BI / SQL – Cloud Software Reporting/Data Engineer (ML/AI/API) Ref 1203

True work from home. 25 days holiday plus stats, pension.


Additional Benefits


Flat structure + uncapped earning potential.


Region: West Yorkshire


About


This high-end grade, cloud-based employee health platform is specifically designed to help organisations successfully manage, monitor and take appropriate action to support employee health and wellbeing. The company is in an exciting period of growth. As such, this is a great opportunity to join an evolving, fast paced software organisation. We are seeking an accomplished candidate, that will play a key role in a vitally important area of our business going forward.


Purpose

Work within an established data team responsible for providing T-SQL, Power BI and API solutions to be leveraged within their applications. Providing high quality, robust SaaS Management Information solutions. Liaising with stakeholders to understand, document and implement MI requirements.


Responsibilities

Help shape and define the DataGroup practice area.


Working on the architecture, design, development and maintenance of Power BI reports leveraged within applications.


A front‑faced approach to delivering high quality work.


Ensuring accuracy, integrity, and security of all solutions delivered by the team.


Working with stakeholders to understand requirements and translating them into effective reports.


Working with the Project team to formulate detailed, time‑based plans for the delivery of reports, APIs and other data related deliverables.


Maintaining robust reporting data schema within SQL data that facilitates efficient reporting solutions for our clients and ourselves.


Staying updated with the latest technologies to continuously improve our data capabilities.


Skills and Knowledge

Highly skilled and experienced Power BI Reports Analyst with experience working in a SaaS Company.


Strong interpersonal skills, able to communicate clearly and confidently to varying levels of individuals internally and externally.


Self‑starter, takes ownership, able to break down a project into actionable steps and use initiative to move these forward.


Have the confidence to work on their own but also to ask for help or direction when required.


Strong time management skills with the ability to deliver to a deadline.


Diligence and attention to detail to ensure work is delivered to a high standard.


Experience of the following is essential

  • Power BI – advanced knowledge
  • SQL – ideally advanced knowledge
  • Understanding data structures and imparting this knowledge to others
  • Strong statistical analysis and data mining skills

Experience of the following would be useful

  • Producing MI to be consumed by senior leaders
  • Knowledge of integration with HR systems such as Workday, SAP, Oracle and ESR
  • Machine learning techniques


#J-18808-Ljbffr

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.