At a Glance
- Tasks: Build analytics-ready datasets and develop transformation pipelines using SQL and PySpark.
- Company: Join a respected organisation leading a major data transformation in London.
- Benefits: Competitive salary, hybrid work model, and opportunity to work on cutting-edge technology.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Shape data modelling and deliver trusted insights that drive business decisions.
- Qualifications: Experience as an Analytics Engineer with strong SQL and PySpark skills.
The predicted salary is between 50000 - 60000 £ per year.
We're partnering with a highly respected organisation undergoing a major data transformation, and they're looking for an Analytics Engineer to join their growing data team on a 12-month fixed-term contract.
This is a fantastic opportunity to work on a cutting-edge Lakehouse platform, helping shape how data is modelled, structured, and delivered across the business.
The Opportunity:
You'll sit at the heart of the data function, bridging the gap between engineering and business teams. Your work will directly enable high-quality reporting, trusted insights, and data-driven decision-making at scale.
What You'll Be Doing:
- Building curated, analytics-ready datasets using modern modelling techniques
- Developing robust transformation pipelines using SQL and PySpark
- Collaborating with Data Engineers to enhance the data platform
- Translating business needs into scalable, well-structured data models
- Embedding data quality, testing, and governance into workflows
- Working closely with BI teams and stakeholders to deliver reliable insights
What We're Looking For:
- Proven experience as an Analytics Engineer or similar role
- Strong SQL skills and experience with complex data transformations
- Hands-on experience with PySpark and modern data platforms (Lakehouse)
- Solid understanding of dimensional modelling
- Strong communication skills - able to work across technical and business teams
- A passion for clean, reliable, high-quality data
If you are interested please apply, to follow up please email or message me on LinkedIn.
Senior Analytics Engineer - 12 month FTC in London employer: Energy Jobline ZR
Join a forward-thinking organisation in London that values innovation and collaboration, offering a hybrid work environment that promotes work-life balance. As a Senior Analytics Engineer, you'll be part of a dynamic data team driving a significant transformation project, with ample opportunities for professional growth and development in a culture that prioritises data quality and impactful insights.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer - 12 month FTC in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to analytics engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through projects or a portfolio. If you've worked on any data transformation projects or have examples of your SQL and PySpark work, make sure to highlight them during interviews or discussions.
✨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, it shows you're serious about joining the team.
We think you need these skills to ace Senior Analytics Engineer - 12 month FTC in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL and PySpark expertise, and don’t forget to mention any experience with data transformation and modelling.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data and how your background makes you a great fit for this role. Be sure to connect your previous experiences to the responsibilities listed in the job description.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, include them in your application. This gives us insight into your hands-on experience with data platforms and analytics.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our data transformation programme.
How to prepare for a job interview at Energy Jobline ZR
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex data transformations and even tackle some practical SQL problems. This will show that you’re not just familiar with SQL, but that you can apply it effectively in real-world scenarios.
✨Showcase Your PySpark Experience
Since the role requires hands-on experience with PySpark, be ready to talk about specific projects where you've used it. Highlight how you developed transformation pipelines and any challenges you faced. This will demonstrate your technical expertise and problem-solving abilities.
✨Bridge the Gap Between Teams
As an Analytics Engineer, you'll need to work closely with both technical and business teams. Prepare examples of how you've successfully collaborated across different departments in the past. This will illustrate your strong communication skills and ability to translate business needs into data solutions.
✨Emphasise Data Quality and Governance
Data quality is crucial in this role, so be ready to discuss how you've embedded data quality, testing, and governance into your workflows. Share specific instances where your focus on clean, reliable data led to better insights or decision-making. This will highlight your commitment to high-quality data practices.
