At a Glance
- Tasks: Design and maintain data infrastructure, ensuring high-quality data for analytics and reporting.
- Company: Join AVK, a forward-thinking company with a collaborative culture.
- Benefits: Enjoy a competitive salary, flexible working, and ongoing training opportunities.
- Other info: Be part of a supportive team in a fast-paced environment with great career growth.
- Why this job: Make an impact by transforming data into actionable insights for the business.
- Qualifications: 2-3 years in data engineering with strong SQL and Python skills.
The predicted salary is between 45000 - 55000 £ per year.
At AVK we’re looking for a Data Engineer to join our Business Operations team. In this role, you’ll be responsible for designing, building, and maintaining AVK’s end to end data infrastructure owning the full data lifecycle from source extraction through transformation to semantic modelling, enabling reliable, high quality data to power reporting, analytics, and decision making across the business.
Key Responsibilities
- Design, build, and maintain robust ETL and ELT pipelines.
- Develop logical and physical data models.
- Build and optimise semantic models and datasets designed for Power BI and downstream analytics and reporting.
- Integrate and structure data from core enterprise platforms including CRM, Finance, and Project Management systems.
- Act as the bridge between business and data. Work with stakeholders across Business Operations and wider teams to understand requirements, translate business problems into technical solutions, and communicate data concepts clearly to varying levels of data literacy.
- Develop efficient, scalable SQL and Python solutions.
- Optimise pipelines and data models for performance, reliability, and long term scalability.
- Implement validation, monitoring, and error handling frameworks to ensure high data quality, reliability, and organisational trust in data outputs.
Qualifications and Experience
- 2-3 years experience in data engineering.
- Advanced proficiency in SQL and Python for data extraction, transformation, modelling, and pipeline orchestration.
- Proven experience delivering across the full data lifecycle from raw data extraction through transformation to semantic modelling for business intelligence.
- Strong understanding of how data should be structured and modelled to support performant dashboards, reporting, and analytics.
- Ability to clearly communicate complex technical concepts and translate business needs into effective data solutions.
- Comfortable operating in a fast moving, cross functional environment with evolving data maturity.
Benefits
- Competitive salary and benefits package.
- Flexible / hybrid working options.
- Ongoing training and career development.
- Supportive, collaborative team environment.
- Health Care.
- Bonus Scheme.
Data Engineer employer: AVK-SEG Ltd
AVK is an exceptional employer that prioritises employee growth and development, offering a competitive salary and benefits package alongside flexible working options. Our supportive and collaborative team environment fosters innovation and allows you to thrive as a Data Engineer, while ongoing training ensures you stay at the forefront of data engineering practices. Join us in a role where your contributions directly impact decision-making across the business, all within a dynamic and fast-paced setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at AVK. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving SQL and Python. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering challenges. Be ready to discuss how you’ve tackled similar issues in the past, especially around ETL processes and data modelling.
✨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 the AVK team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL and Python, and don’t forget to mention any projects where you’ve designed or maintained data pipelines. We want to see how your skills match 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. Be sure to connect your experiences with the responsibilities listed in the job description.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can bridge the gap between business needs and technical solutions, so share those stories with us!
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’re considered for the role. Plus, it shows you’re keen on joining our awesome team at AVK!
How to prepare for a job interview at AVK-SEG Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the data lifecycle, especially around ETL and ELT processes. Brush up on your SQL and Python skills, as you'll likely be asked to demonstrate your proficiency in these areas during the interview.
✨Understand the Business Context
Familiarise yourself with AVK’s business operations and how data plays a role in decision-making. Be prepared to discuss how you can bridge the gap between technical data solutions and business needs, showcasing your ability to communicate complex concepts clearly.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or optimise data models. Think of examples from your past experience where you successfully tackled similar challenges, and be ready to explain your thought process.
✨Showcase Your Collaborative Spirit
Since this role involves working with various stakeholders, highlight your experience in cross-functional teams. Share examples of how you’ve effectively communicated with non-technical colleagues and translated their needs into actionable data solutions.
