Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our Data Engineering team to manage and optimise data processes.
- Company: Volante Global, a forward-thinking company focused on data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by ensuring accurate data delivery and collaborating with analytics experts.
- Qualifications: Strong Python and SQL skills, plus a knack for problem-solving.
- Other info: Dynamic team environment with a focus on cloud technology and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
About the team and the job:
Volante Global are looking for a Data Engineer to join the Data Engineering team. The team is responsible for ensuring the delivery of accurate, curated data for downstream consumption in a timely manner, and are responsible for extracting data from source solutions and transforming that into a central data repository. The role will be working closely with the Data Analytics team, providing assistance where required on producing any required outputs needed by the business.
How you'll contribute:
- Perform the day to day running of the ETL processes that feed into the central data repository.
- Work with key stakeholders and other teams to gather requirements, identify where the data is located and to then implement the required changes.
- Continue to improve the existing processes, including optimization and maintenance improvements.
- Diagnose any issues with the data, the processing of that data and any associated code.
- Work with other teams as a subject matter expert for the data model and associated lineage.
- Ensure that robust data quality checks are embedded in the code to reflect established business processes.
- Support the Data Analytics team with data reconciliation issues.
- Assist in migrating to the cloud.
Requirements:
- Strong Python and SQL coding skills with a good understanding of SDLC.
- Knowledge of cloud technologies and how to use them in a data and reporting solution.
- The ability to analyse, refactor and implement processes (technical/business).
- Good technical understanding of developing data pipeline solutions abiding to best practice.
- Good communication skills.
- Ability to document and accurately capture business requirements, translating that into a Technical Solution Specification document detailing the data engineering solution.
Data Engineer in London employer: Acrisure UK Retail Limited
Contact Detail:
Acrisure UK Retail Limited 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 folks in the industry, attend meetups, and connect with people 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 engineering projects, especially those involving Python and SQL. 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 scenarios. Practice explaining your thought process when tackling ETL processes or troubleshooting data issues – it’s all about demonstrating your expertise!
✨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 about their job search!
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 Python and SQL skills, and any experience with ETL processes or cloud technologies. We want to see how your background fits with what we're looking for!
Showcase Your Projects: Include any relevant projects you've worked on that demonstrate your ability to analyse and implement data solutions. If you've optimised processes or tackled data quality issues, let us know! This is your chance to shine.
Be Clear and Concise: When writing your cover letter, be clear about why you want to join our team and how you can contribute. Keep it concise but impactful – we appreciate straightforward communication that gets to the point.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at Acrisure UK Retail Limited
✨Know Your ETL Processes
Make sure you understand the ins and outs of ETL processes, as this role heavily relies on them. Be ready to discuss your experience with extracting, transforming, and loading data, and how you've optimised these processes in the past.
✨Brush Up on Python and SQL
Since strong coding skills in Python and SQL are crucial for this position, review your past projects and be prepared to demonstrate your coding abilities. You might even be asked to solve a coding challenge during the interview, so practice is key!
✨Communicate Clearly
Good communication skills are essential, especially when gathering requirements from stakeholders. Practice explaining complex technical concepts in simple terms, as you'll need to translate business needs into technical solutions.
✨Show Your Cloud Knowledge
Familiarise yourself with cloud technologies relevant to data engineering. Be ready to discuss how you've used cloud solutions in previous roles and how they can enhance data reporting and storage. This will show that you're not just technically savvy but also forward-thinking.
