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For Companies At a Glance
- Tasks: Build data pipelines and models while supporting exciting data-focused projects.
- Company: Dynamic London-based consultancy delivering bespoke IT solutions in private capital markets.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a growing team and make an impact with innovative data engineering solutions.
- Qualifications: 1 year of experience in data engineering, strong SQL and Python skills required.
- Other info: Collaborative environment with exposure to cutting-edge technologies and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
The Company
Our client is a dynamic, London-based firm providing independent consultancy services and bespoke IT solutions to clients within the private capital markets industry. Since their founding in 2011, they have delivered over 200 technical projects for clients in more than 20 countries. The team consists of implementation experts, reporting specialists, and skilled developers delivering innovative, client-focused solutions using a range of leading technologies. They are currently looking for a Data Engineer to join their growing data strategy team. This role offers the opportunity to work on varied and interesting projects focused on data engineering, reporting, and data platform development.
The Position
- Support the technical delivery of data-focused projects, with hands-on involvement in building data pipelines, models, and reports.
- Assist in the design and implementation of scalable data solutions that align with business and technical requirements.
- Build and maintain ETL/ELT processes using modern data tools and cloud platforms.
- Develop and optimise data models and queries using SQL and Python.
- Work closely with project managers, analysts, and senior engineers to gather requirements and translate them into technical solutions.
- Contribute to documentation and support testing, deployment, and troubleshooting activities.
- Stay current with new data tools and best practices, and contribute to continuous improvement initiatives.
Essential Skills
- Minimum 1 year of professional experience in a data engineering or related role.
- Strong proficiency in SQL.
- Solid working knowledge of Python.
- A degree in a STEM subject.
- Understanding of data modelling fundamentals.
- Strong problem-solving skills and attention to detail.
- Clear written and verbal communication skills.
Desirable
- Exposure to Azure, Snowflake and other cloud platforms.
- Familiarity with data pipeline development (ETL/ELT workflows).
- Basic experience with Power BI, Tableau or other data visualisation tools.
- Experience working with stakeholders or clients to gather requirements and deliver technical solutions.
- Interest or experience in the financial services or private capital markets sector.
Data Engineer in London employer: Graduate Recruitment Bureau
Contact Detail:
Graduate Recruitment Bureau Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tasks. Practice explaining your thought process clearly, as communication is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 how your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any data-focused projects, make sure to mention them! Whether it's building data pipelines or optimising queries, we want to know what you've done and how it relates to the role. Don't be shy!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Graduate Recruitment Bureau
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially SQL and Python. Brush up on your knowledge of ETL/ELT processes and any cloud platforms like Azure or Snowflake. Being able to discuss these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experience where you've tackled complex data challenges. Think about how you approached the problem, the steps you took, and the outcome. This will demonstrate your analytical thinking and ability to deliver technical solutions effectively.
✨Communicate Clearly
Since the role involves working closely with project managers and analysts, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand. Good communication can set you apart from other candidates.
✨Stay Current and Curious
Show your enthusiasm for continuous learning by discussing recent trends or tools in data engineering. Mention any online courses or projects you’ve undertaken to stay updated. This reflects your commitment to professional growth and aligns with the company’s focus on innovation.
