At a Glance
- Tasks: Design and deliver analytics-ready data models while building robust transformation pipelines.
- Company: Join an award-winning company leading a major data transformation in a flexible work environment.
- Benefits: Up to £80K salary, 25 days holiday, private healthcare, and retail discounts.
- Other info: Be part of a growing team with opportunities for mentorship and career development.
- Why this job: Shape the future of analytics engineering and influence key architectural decisions.
- Qualifications: Strong SQL and PySpark skills, experience in dimensional modelling, and stakeholder engagement.
The predicted salary is between 72000 - 88000 £ per year.
- Manchester (other offices available across UK)
- Hybrid + Flexible (1/2 days per month in office)
Are you an Analytics Engineer who wants to do more than just build pipelines?
Looking for real ownership in the next role?
Want a fully flexible work environment that’s won awards for its culture?
We're partnering with an industry leader that is undergoing a major data transformation programme.
Having migrated from a legacy on-premises environment into Azure, they're now building a modern Databricks Lakehouse platform from the ground up and are looking for a Senior Analytics Engineer to help define how analytics-ready data is modelled, governed and delivered for years to come.
The role has been created to bridge the gap between Data Engineering and Analytics, bringing ownership of business-focused data models and analytics-ready datasets into a dedicated capability.
This isn't a role where you'll simply pick up tickets and write code.
You'll be the first dedicated Analytics Engineering hire in a growing capability, helping establish standards, processes, modelling approaches and best practice across the business.
The successful person will have the opportunity to influence the direction of the platform, work closely with Data Architects, Data Engineers and Analysts, and play a key role in shaping the future Analytics Engineering function.
What’s in it for you?
- Salary up to £80K DOE
- Fully flexible working, once / twice a month in office
- 25 days holiday + BH + option to buy more
- Pension (flexible schemes available)
- Private healthcare and wellbeing support
- Retail discounts and much more
- What you'll be doing
- Designing and delivering curated, analytics-ready dimensional and semantic data models
- Building robust SQL and Py Spark transformation pipelines within Databricks
- Defining KPI logic, business definitions and semantic consistency across domains
- Driving data quality, governance, testing and performance optimisation
- Collaborating with Data Architects, Engineers, Analysts and senior stakeholders
- Leading modelling discussions and influencing architectural decisions
- Mentoring colleagues and helping establish Analytics Engineering best practices
- Supporting the development of a growing Analytics Engineering capability
What we're looking for
- Strong experience working as an Analytics Engineer or in a closely related role
- Expert SQL skills and strong Py Spark experience
- Strong background in dimensional modelling and semantic layer design
- Experience working with Databricks and modern Lakehouse architectures
- Ability to translate business requirements into scalable data models
- Strong stakeholder engagement and communication skills
- Passion for creating trusted, business-ready data products
- Previous experience mentoring engineers or technical team members
Why apply?
This is a rare opportunity to join a business at a pivotal stage of its data journey.
With a multi-year transformation programme already underway, you'll have genuine influence over how analytics capability is built rather than inheriting established processes.
The hiring manager is specifically looking for someone who wants to shape, define and grow a capability, with future team-building opportunities likely as the function evolves.
If you're passionate about data modelling, analytics engineering and building scalable foundations for data-driven decision making,
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Senior Analytics Engineer in Manchester employer: Forward Role Recruitment
Join a dynamic and innovative luxury fashion and eCommerce group in London as a Commercial Data Analyst, where your insights will directly influence strategic decisions. With a strong emphasis on employee growth, you'll have the opportunity to work closely with senior leadership, enhancing your skills in a collaborative hybrid work environment. The company fosters a culture of curiosity and creativity, ensuring that your contributions are valued and impactful as they embark on an exciting journey of data-driven growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Forward Role Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Analytics Engineer at Forward Role Recruitment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Forward Role Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Engineer at Forward Role Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Analytics Engineer in Manchester
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 Recruitment, 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 Recruitment. 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 Recruitment
✨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 Recruitment!
✨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.
