At a Glance
- Tasks: Build data pipelines and deliver insights that drive real business decisions.
- Company: Dynamic company in central London with a flexible remote work culture.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with broad ownership across the data lifecycle.
- Why this job: Join a high-impact role and influence the future of data architecture.
- Qualifications: Experience in data analysis, strong SQL skills, and Python proficiency.
The predicted salary is between 45000 - 55000 £ per year.
This is a fixed‑term contract and hybrid in central London with some great remote flexibility. This role sits across data engineering and analytics – ideal for someone who enjoys building robust data pipelines and delivering insights that influence real business decisions.
What you’ll be doing:
- Building and maintaining data integrations with internal platforms and third‑party APIs
- Developing and optimising ETL pipelines and data warehouse infrastructure
- Working with stakeholders to deliver dashboards, reports and financial insights (Power BI / Excel)
- Taking ownership of new data processes as the analytics estate scales
- Acting as a go‑to technical SME for the data platform
What we’re looking for:
- Experience working as a Data Analyst, Analytics Engineer or similar
- Strong SQL and experience with large, relational datasets
- Solid Python skills for data analysis and automation
- Experience designing or working with ETL workflows and data models
- Ability to communicate clearly with non‑technical stakeholders
Nice to have:
- Power BI or similar visualisation tools
- Azure data services experience
- Exposure to finance, lending or regulated environments
Why apply?
- High‑impact role in a scaling data function
- Broad ownership across the full data lifecycle
- Opportunity to influence architecture, tooling and best practice
- Inclusive, collaborative culture with room to grow
Hybrid Data Analytics Engineer – 12‑Month FTC (Remote) employer: Trust In SODA
As a Hybrid Data Analytics Engineer, you will thrive in an inclusive and collaborative culture that values your contributions and offers ample opportunities for professional growth. With the flexibility of remote work and a central London location, you will play a pivotal role in shaping data processes and influencing key business decisions, all while enjoying a high-impact position within a scaling data function.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Analytics Engineer – 12‑Month FTC (Remote)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, dashboards, or any relevant work. This gives you a chance to demonstrate your expertise in SQL, Python, and ETL workflows, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analytics and engineering. Be ready to discuss your experience with data pipelines and how you've influenced business decisions with your insights. Confidence is key!
✨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 genuinely interested in joining our team and contributing to our data function.
We think you need these skills to ace Hybrid Data Analytics Engineer – 12‑Month FTC (Remote)
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, Python, and ETL workflow experience, as these are key for us at StudySmarter.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data analytics and how you can contribute to our team. Share specific examples of your past work that align with the role.
Showcase Your Projects:If you've worked on any relevant projects, especially those involving data pipelines or dashboards, make sure to mention them. We love seeing practical applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people in our team.
How to prepare for a job interview at Trust In SODA
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and technologies mentioned in the job description. Brush up on your SQL skills and be ready to discuss how you've used Python for data analysis. Being able to talk confidently about your experience with ETL workflows will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially those related to building data pipelines or delivering insights. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for interviewers to see your thought process.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of scenarios where you’ve had to bridge the gap between technical and non-technical teams, and be ready to share those experiences.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, the tools they use, and how they measure success. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
