At a Glance
- Tasks: Lead data modelling and build engineering pipelines in a hybrid role.
- Company: Professional services firm with a focus on innovation and collaboration.
- Benefits: Salary up to £75K, flexible working, 25 days holiday, and private healthcare.
- Other info: Join a supportive culture with opportunities for mentorship and career growth.
- Why this job: Make an impact by shaping analytics-ready models that drive business insights.
- Qualifications: Expertise in dimensional modelling, SQL, PySpark, and stakeholder management.
The predicted salary is between 75000 - 75000 £ per year.
Manchester – mainly remote working with occasional office visits. A professional services firm is looking for a Senior Analytics Engineer to lead data modelling within its Lakehouse environment. This is a hybrid role for someone with real depth in dimensional modelling who is equally comfortable building the engineering pipelines behind it. You’ll own the curated data layer, turning complex business requirements into robust, well-governed models that power analytics and reporting across the business.
What we’re looking for:
- Strong understanding of dimensional modelling, semantic layers and analytics engineering best practice
- Proven hybrid experience across data modelling and data engineering in a modern data platform environment
- Expert-level SQL and strong PySpark experience
- Experience with Power BI, or a similar BI tool, and how models are built to support it
- Experience with Databricks and Lakehouse architecture
- Strong stakeholder management skills, with the ability to explain complex concepts clearly
- Experience mentoring or leading other engineers
What you’ll do:
- Lead the design and delivery of curated, analytics-ready dimensional and semantic models
- Own KPI definitions, conformed dimensions and semantic consistency across domains
- Build and maintain complex SQL and PySpark transformation pipelines on Databricks
- Shape models that support reporting and analytics, including Power BI
- Partner closely with Data Analysts, Data Architects, Data Engineers and business stakeholders
- Lead modelling design reviews and contribute to architectural decisions
- Ensure data quality, testing, observability and performance across the curated layer
- Provide technical leadership and mentorship to less experienced analysts and engineers
- Contribute to CI/CD, testing and governance standards across the data platform
What’s on offer:
- Salary up to 75K
- 25 days’ holiday plus bank holidays, with the option to buy extra
- Flexible, remote / hybrid working
- Two paid volunteering days a year
- Private healthcare cash plan and digital GP access
- Wellbeing initiatives and a genuinely inclusive culture
*Please note you must be based in UK and the role cannot offer sponsorship*
Senior Analytics Engineer employer: Forward Role
As a Data Platform Architect with us, you'll be part of a dynamic and innovative team dedicated to shaping the future of our data architecture. We offer a collaborative work culture that values your expertise and encourages knowledge-sharing, ensuring you have the opportunity to grow and make a significant impact on a business-critical programme. Located in the South West, our hybrid working model provides flexibility while fostering strong team connections, making us an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Forward Role, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Forward Role. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Forward Role
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Forward Role!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
