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- Tasks: Develop and maintain data pipelines using Python and SQL for impactful reporting.
- Company: Join one of the UK's fastest growing businesses with a strong focus on data.
- Benefits: Up to £80,000 salary, bonus scheme, 25 days holiday, and medical insurance.
- Other info: Dynamic hybrid work environment with excellent exposure across business functions.
- Why this job: Be part of a team where data drives decisions and innovation.
- Qualifications: Experience with Python, SQL, and data warehousing is essential.
The predicted salary is between 70000 - 80000 £ per year.
I’m working with one of the UK’s fastest growing businesses, currently building out their data team as they continue to scale. It’s a great opportunity to join a business where data is becoming more central to how decisions are made, with ongoing investment in tools and infrastructure.
They’re looking for a Data Engineer to support the development of their data platform, working on pipelines and datasets that are used across the business. You’ll be involved in getting data from source through to something clean and usable for reporting and analysis.
- Python
- SQL
- Bonus Scheme
- ~25 days holiday + BH
- ~ Birthday off
- ~ Pension
- ~ Medical insurance + death insurance
- ~ Company discounts
Experience working with Python or a similar language for data pipelines.
Strong SQL.
Understanding of data warehousing and data modelling.
Experience pulling data from APIs and multiple sources.
Good understanding of data quality and governance.
Building and maintaining data pipelines using Python and SQL within GCP.
Extracting, transforming and loading data from different sources using tools such as BigQuery and Dataform.
Creating datasets and data models that can be used for reporting and analysis in Looker Studio.
Working with teams across the business to understand data requirements and translate these into solutions.
Supporting data projects from initial brief through to delivery, working with GCP services like Airflow, Cloud Functions and Cloud Run.
Improving data quality, reliability and performance through monitoring, validation and optimisation within the data warehouse environment.
This role sits in a business that is investing properly in data rather than treating it as an afterthought. You will be working across a mix of data sources and teams, which gives you good exposure to how different areas of the business operate. It is not a siloed role where you are just handed tickets.
Senior Engineer, Data Engineering in Liverpool employer: Forward Role Recruitment
Contact Detail:
Forward Role Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in Liverpool
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss Python, SQL, and data pipelines. We recommend doing some mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your projects! If you've worked on any data engineering projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills, so bring along examples that demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to be part of our growing data team.
We think you need these skills to ace Senior Engineer, Data Engineering in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit for our data team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data engineering. We love seeing how you approach problems and come up with innovative solutions, especially when it comes to data quality and governance.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Forward Role Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built data pipelines or worked with data warehousing. They’ll want to see how you’ve applied your technical knowledge in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially around data quality and governance. Think of examples where you improved data reliability or performance, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Research the company and its approach to data. Understand how they use data for decision-making and be prepared to discuss how your experience aligns with their goals. This shows that you’re not just a techie but also someone who understands the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions about their data projects and team dynamics. This not only demonstrates your interest in the role but also helps you gauge if the company culture and the way they handle data align with your values and work style.