At a Glance
- Tasks: Design and maintain data pipelines while generating insights for strategic decisions.
- Company: Dynamic tech company with a meritocratic culture that values self-starters.
- Benefits: Negotiable salary, flexible working, professional development funding, and standard benefits.
- Other info: Embrace continuous learning in a supportive environment focused on innovation.
- Why this job: Join a collaborative team and make a real impact through data-driven insights.
- Qualifications: Degree in STEM or equivalent, strong programming skills, and experience with cloud platforms.
The predicted salary is between 50000 - 65000 € per year.
Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
Location: Hybrid - London
Package: Negotiable + Benefits
The day to day:
- Data Engineering: Design, build, and maintain ETL/ELT pipelines for ingesting, transforming, and storing data from multiple sources. Ensure data quality, integrity, and reliability through automated testing and validation. Manage and optimise databases, data warehouses, and cloud data environments (e.g. Azure/AWS). Collaborate with Data Operations to ensure platform stability and operational excellence.
- Analytics & Insight: Collect, clean, and analyse structured and unstructured data to identify trends and actionable insights. Develop dashboards and reports using BI tools such as Power BI or Tableau. Communicate findings clearly to both technical and non‑technical audiences. Prepare datasets for AI/ML use cases, including feature engineering, dataset shaping, and data labelling.
- Collaboration & Delivery: Work closely with Data Operations and Data Services Leads to balance priorities and resource allocation. Partner with Technical Leads to ensure solutions align with established technical guardrails and best practices. Engage with business stakeholders to understand requirements and translate them into deliverable solutions. Collaborate with Data Scientists and AI Engineers on model deployment, vector database integration, and monitoring.
- Continuous Improvement: Champion a culture of learning, innovation, and process optimisation. Proactively introduce new tools, automation opportunities, and analytical approaches. Explore emerging frameworks and implement practical improvements.
- Governance & Compliance: Ensure all data activities comply with governance, privacy, and security standards. Contribute to data management initiatives, documentation, and best practices.
About you:
- Degree in a STEM subject or equivalent experience.
- Strong programming skills (Python, SQL, R, or similar).
- Experience with cloud data platforms (Azure, AWS, GCP) and big data technologies (Spark, Hadoop).
- Knowledge or experience with Denodo is an advantage.
- Proficiency in BI and data visualisation tools (Power BI, Tableau).
- Solid understanding of data modelling, ETL/ELT processes, and database management.
- Analytical mindset with strong problem‑solving and communication skills.
- Ability to work collaboratively across multidisciplinary teams and engage with stakeholders at all levels.
- Commitment to continuous learning and professional development.
- Awareness of modern AI/LLM concepts and the ability to support AI‑ready data engineering of value but not essential.
- Experience shaping data for advanced analytics or ML, including feature extraction and dataset quality checks.
The rewards:
- A negotiable basic salary and all the normal benefits you’d expect (Holiday, company pension etc.)
- A collaborative, open and honest environment that is designed to deliver the best outcomes to our clients and staff.
- A flexible working methodology to enable you to be where you need to be; if you don’t need to be in an office then don’t, if you want to be in an office you’re welcome to use one.
- An environment built around supporting and developing our staff with funding available for relevant professional qualifications.
- We are an Equal Opportunity Employer. We take pride in the diversity of our team and seek diversity in our applicants.
Analytics & Data Engineer in London employer: Bridge Specialty Group
As an Analytics & Data Engineer at our London-based company, you will thrive in a meritocratic culture that values self-starters and prioritises customer satisfaction. We offer a flexible hybrid working environment, competitive salary, and comprehensive benefits, alongside ample opportunities for professional growth and development through funding for relevant qualifications. Join us to be part of a collaborative team that champions innovation and continuous improvement in data engineering and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics & Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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 cool analytics work you've done. This gives us a tangible way to see what you can bring to the table beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering and analytics questions. Practice explaining your thought process and how you tackle problems. We want to see your analytical mindset in action!
✨Tip Number 4
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 mission.
We think you need these skills to ace Analytics & Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Analytics & Data Engineer role. Highlight your programming skills, data engineering experience, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and analytics. Share specific examples of how you've tackled challenges in the past and how you can contribute to our mission at StudySmarter.
Showcase Your Projects:If you've worked on any data-related projects, make sure to include them in your application. Whether it's building ETL pipelines or creating insightful dashboards, we love seeing practical examples of your work. It helps us understand your hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Bridge Specialty Group
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Python, SQL, and BI tools such as Power BI or Tableau. Brush up on your ETL/ELT processes and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges. Think about specific instances where you identified trends or insights that led to actionable recommendations. This will demonstrate your analytical mindset and ability to deliver business value.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. You might be asked to present findings or insights, so being able to communicate effectively is key. Use simple language and focus on the impact of your work.
✨Emphasise Continuous Learning
Highlight your commitment to professional development and staying updated with industry trends. Mention any relevant courses or certifications you’ve pursued, especially in AI/ML concepts or new data technologies. This shows you're proactive and eager to grow within the role.
