At a Glance
- Tasks: Design and build scalable analytical data models for business intelligence and reporting.
- Company: Join a dynamic team at Randstad Technologies, a leader in digital solutions.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make an impact by transforming raw data into trusted analytical assets.
- Qualifications: Advanced SQL skills and experience with analytical data modelling required.
The predicted salary is between 63000 - 77000 £ per year.
Locations: London One Braham or Birmingham Snowhill or Bristol Assembly (hybrid-3 days onsite)
- Duration: 06 months
- IR35: Inside
Job description
Role Overview
We are seeking an experienced Analytics Engineer to design and build scalable analytical data models that support business intelligence, reporting and commercial analytics.
The role sits within a multidisciplinary data team responsible for delivering trusted analytical data products used across commercial and marketing teams.
The ideal candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers.
This is not a pipeline engineering role; we are looking for someone experienced in building analytical data models that define consistent business metrics and enable self-service analytic s.
Key Responsibilities
- Analytical Data Modelling
- Design and implement scalable analytical data models in SQL used by BI tools and analytics platforms.
- Build datasets that support consistent business metrics, reporting and analysis.
- Implement modelling approaches such as star schemas, denormalised analytical tables and reusable metric layers.
- Data Analysis & Profiling
- Profile complex datasets to understand data structure, quality and business meaning.
- Investigate and interpret source data to inform robust analytical modelling decisions.
- Translate business questions into well-structured analytical datasets.
- SQL Engineering
- Develop robust SQL transformations to convert raw source data into trusted analytical assets.
- Ensure analytical models are scalable, performant and maintainable within a cloud data warehouse.
- Optimise SQL logic for performance and efficient data processing.
- Collaboration
- Work closely with analysts, visualisation developers, data engineers and business stakeholders.
- Contribute to the development of reusable data assets and consistent analytical definitions.
- Support the evolution of the organisation's analytics data layer and self-service reporting capability.
Essential Skills
- Advanced SQL skills with experience engineering complex analytical transformations.
- Proven experience building analytical data models used by BI tools or reporting platforms.
- Experience designing analytics-ready datasets rather than ingestion pipelines.
- Strong experience with cloud data warehouse platforms (preferably Google Big Query / GCP).
- Strong data analysis and data profiling capability with the ability to interpret complex datasets.
- Experience implementing analytical modelling approaches such as star schemas or wide tables.
Desirable Skills
- Experience working with semantic layers or metrics layers (e. g. Looker / Look ML).
- Experience designing consistent business metrics used across reporting and analytics.
- Python experience for data analysis, automation or advanced analytics workflows.
- Exposure to AI-enabled analytics tools or modern data workflows.
- Experience working in commercial or marketing analytics environments.
- Telecommunications or subscription business experience would be advantageous.
If you're excited about application security, identity management, and creating robust, secure solutions for modern architectures, we want to hear from you!
Please apply with a copy of your CV or send it to Prasanna . merugu @ randstaddigital . com and let's start the conversation!
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Data Engineer in London employer: Randstad Technologies Careers
At Randstad Technologies, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in Harlow, we offer competitive benefits, opportunities for professional growth, and the chance to work on impactful projects with leading clients. Join us to be part of a dynamic team where your contributions are valued and your career can flourish.
Contact Details:
Randstad Technologies Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨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 Randstad Technologies Careers 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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Randstad Technologies Careers.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Randstad Technologies Careers.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Randstad Technologies Careers, 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 Randstad Technologies Careers, 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 Randstad Technologies Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Randstad Technologies Careers
✨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 Randstad Technologies Careers.
✨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 Randstad Technologies Careers.
✨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 Randstad Technologies Careers.
