At a Glance
- Tasks: Design and develop data solutions for exciting client projects in a collaborative team.
- Company: Dynamic data consultancy focused on innovative data integration and analytics.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Fast-paced environment with excellent career advancement opportunities.
- Why this job: Join a growing team and make an impact with cutting-edge data technologies.
- Qualifications: Strong SQL skills and experience in ETL development and data warehousing.
The predicted salary is between 60750 - 74250 £ per year.
- BI Engineer - 12 month FTC
- London (Hybrid)
This is an excellent opportunity for a BI Engineer to join a growing data consultancy delivering complex data and analytics solutions for investment and financial services clients.
You'll work on challenging data integration projects, gain exposure to a variety of modern data environments, and develop both your technical and consulting skills within a collaborative, high-performing team.
The Company
They are a specialist data and technology consultancy that helps organisations build trusted, scalable data platforms.
Their work focuses on data integration, analytics, reporting, and operational efficiency, enabling clients to make better decisions through high quality data.
With continued growth and a strong project pipeline, they offer an environment where BI Engineers can take ownership, work closely with stakeholders, and develop their expertise across a range of technologies and client environments.
The Role
As a BI Engineer, you will play a key role in designing, developing, and supporting data solutions for client projects.
Responsibilities include
- Building and maintaining ETL pipelines and data integration processes.
- Developing, optimising, and troubleshooting complex SQL Server and T-SQL solutions.
- Creating and enhancing semantic and tabular data models.
- Supporting SSAS cube development and DAX calculations.
- Applying dimensional modelling and data warehousing best practices.
- Working with analysts and stakeholders to translate business requirements into technical solutions.
- Investigating and resolving data quality and reporting issues.
- Supporting testing, quality assurance, and deployment activities.
- Collaborating across project teams to deliver scalable and reliable data solutions.
- Your Skills & Experience
You will have strong commercial experience with
- SQL Server and SQL development.
- ETL development and data pipeline engineering.
- Data warehousing principles and dimensional modelling.
- Star schema, Kimball methodologies, semantic models, and tabular models.
- DAX.
- Working within fast-paced delivery environments.
- Communicating effectively with both technical and non-technical stakeholders.
- Experience within a consultancy environment would be highly beneficial.
- Exposure to Azure data services, Data Vault modelling, or Python would also be advantageous.
BI Engineer employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land BI Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Harnham - Data & Analytics Recruitment before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace BI Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harnham - Data & Analytics Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Harnham - Data & Analytics Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Harnham - Data & Analytics Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Harnham - Data & Analytics Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Harnham - Data & Analytics Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Harnham - Data & Analytics Recruitment.
