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 competitive salary, flexible working, ongoing training, and health care.
- Other info: Thriving environment with opportunities for career growth and development.
- Why this job: Make an impact by transforming data into valuable insights for decision-making.
- 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 are looking for a Data Engineer to join our Business Operations team. In this role, you will 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.
Requirements:
- 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
At AVK, we pride ourselves on being an excellent employer, offering a dynamic and supportive work culture that fosters collaboration and innovation. As a Data Engineer, you'll benefit from flexible working options, ongoing training, and a competitive salary package, all while contributing to meaningful projects that drive the business forward. Our commitment to employee growth and a healthy work-life balance makes AVK a rewarding place to advance your career in data engineering.
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 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 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 scenarios. Practice explaining complex concepts in simple terms, as you'll need to bridge the gap between technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
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 ETL pipelines or worked on data modelling. 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 to the key responsibilities mentioned in the job description.
Showcase Your Projects:If you’ve worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your work, especially those that demonstrate your ability to handle the full data lifecycle.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Avk-Seg
✨Know Your Data Inside Out
Make sure you’re well-versed in the data lifecycle, especially focusing on 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 using data. Think about past experiences where you’ve designed data models or optimised pipelines, and be ready to explain your thought process and the impact of your solutions.
✨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 successfully collaborated with non-technical colleagues to understand their requirements and deliver effective data solutions.
