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- Tasks: Design scalable data models and develop ETL processes for impactful people analytics.
- Company: Join a forward-thinking company that values data-driven decision-making.
- Benefits: Generous bonuses, 25 days leave, health coverage, and volunteer days.
- Why this job: Shape the future of data while empowering teams with insights that matter.
- Qualifications: Experience in ETL, cloud platforms, and data visualisation tools required.
- Other info: Hybrid role with excellent growth opportunities in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Are you someone who can turn complex data into meaningful impact? We’re looking for a data professional who’s passionate about building scalable people analytics solutions and empowering teams with insights that drive smarter, faster decision-making. In this role, you’ll help shape the future of our People data ecosystem—designing robust data models, developing scalable ETL processes, and enabling self-service analytics across the organisation. You’ll play a key role in strengthening data literacy, championing data-led thinking, and supporting a culture where informed decision-making thrives. This role is a 10 month fixed term contract. This is a hybrid position working 3 days a week in the office and 2 from home.
- Designing and implementing scalable data models and people analytics solutions
- Developing ETL processes and semantic models that power self-service analytics
- Creating predictive and prescriptive tools to support proactive decision-making
- Streamlining and automating workflows to enhance efficiency
- Partnering with IT and Digital Services to build a future-fit data architecture
- Implementing data validation frameworks to ensure accuracy and consistency
- Championing data governance and standardising global data definitions
- Mentoring colleagues and helping grow data capability across the function
What we’re looking for:
- Deep experience in ETL, integration, and transformation frameworks (including dbt)
- Strong knowledge of cloud-based platforms such as Snowflake, Azure, or AWS
- Expertise in DAX, M, and SQL (Python or R is a bonus!)
- Ability to design impactful, user-friendly visualisations (Power BI experience preferred)
- Understanding of data protection, information governance, and IT architecture
- Awareness of HR processes and how they connect to finance, procurement, and wider business services would be beneficial
- Comfortable working in fast-paced, agile, and sometimes ambiguous environments
- Experience in HR or related domains—and knowledge of the software industry—is highly desirable
Your benefits (Only Applicable for UK Based Roles):
- Generous bonuses and pension scheme: Up to 8% matched pension contribution plus 2% top-up by Sage.
- 25 days of paid annual leave with the option to buy up to another 5 days
- Paid 5 days yearly to volunteer through our Sage Foundation
- Enhanced parental leave
- Comprehensive health, dental, and vision coverage
- Work away scheme for up to 10 weeks a year
- Access to various helpful memberships for finances, health and wellbeing
Senior Data Developer - 10 Month Fixed Term Contract in London employer: WomenTech Network
Contact Detail:
WomenTech Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Developer - 10 Month Fixed Term Contract in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data models and analytics projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data development and analytics. We recommend using the STAR method to structure your answers—it's a game changer!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Developer - 10 Month Fixed Term Contract in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Developer. Highlight your experience with ETL processes, cloud platforms, and data visualisation tools like Power BI. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can make an impact at StudySmarter. Don’t forget to mention any relevant experience in HR or related domains that could set you apart.
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design scalable data models and develop insightful analytics solutions. We love seeing real examples!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at WomenTech Network
✨Know Your Data Inside Out
Make sure you’re well-versed in the data models and ETL processes relevant to the role. Brush up on your knowledge of cloud platforms like Snowflake or Azure, and be ready to discuss how you've used these tools to create impactful analytics solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific instances where your insights led to smarter decision-making or improved workflows, and be ready to share these stories during the interview.
✨Demonstrate Your Visualisation Expertise
Since the role involves creating user-friendly visualisations, be prepared to discuss your experience with tools like Power BI. Bring along examples of your work that highlight your ability to turn data into clear, actionable insights.
✨Emphasise Collaboration and Mentorship
This position requires partnering with IT and mentoring colleagues. Be ready to talk about your experience working in teams, how you’ve supported others in developing their data skills, and your approach to fostering a culture of data literacy.
