At a Glance
- Tasks: Design and maintain scalable ETL pipelines and ensure data quality for exciting projects.
- Company: Join a fast-growing tech consultancy with a forward-thinking approach.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting career growth opportunities in a collaborative and innovative environment.
- Why this job: Make a real impact by enhancing data engineering and collaborating with dynamic teams.
- Qualifications: Strong SQL and Python skills, with experience in data integration and API development.
The predicted salary is between 60000 - 80000 £ per year.
Agilis are currently working exclusively with a key client who are a leading technology consultancy in their search for a Data Engineer. This is a fantastic opportunity to join a fast growing, forward thinking company and help them take their Data engineering to the next level!
We are seeking a highly skilled and motivated Data Engineer to join a dynamic team. The ideal candidate will have a strong background in SQL, Python, ETL processes, and data integration, ideally in Databricks. You will play a crucial role in continuing an exciting project designing, developing, and maintaining data infrastructure to ensure the seamless inflow, data sanitation/consolidation and automated report production for clients.
- Design, develop, and maintain scalable ETL pipelines to process and integrate data from various sources.
- Implement data validation routines to ensure data quality and integrity.
- Develop and optimize SQL queries for data extraction, transformation, and loading.
Data Integration:
- Integrate data from multiple sources, including APIs & relational databases.
- Collaborate with cross-functional teams to gather and understand data requirements.
Database Management:
- Design and maintain relational database schemas to support business needs.
- Develop and maintain APIs for data access and integration.
- Utilize tools like Postman for API testing and documentation.
Data bricks Management:
- Manage permissions and access controls within Databricks to ensure data security and compliance.
Data Analytics and Reporting:
- Work with data analysts to provide clean and well-structured data for analysis.
- Develop and maintain documentation for data processes and workflows.
- Develop and maintain automatic report production to ensure seamless delivery of critical data.
- Communicate effectively with team members to ensure alignment on data initiatives.
Qualifications:
- Bachelor's degree or equivalent experience in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL or Python or ideally both.
- Knowledge of data validation routines and data integration techniques.
- Familiarity with relational database design and management.
- Experience with API development and testing using tools like Postman.
- Experience of Databricks or similar data platforms desirable.
Senior Engineer, Data Engineering in York employer: Agilis Recruitment
Agilis is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration among its dynamic team. With a strong focus on employee growth, the company provides ample opportunities for professional development in the rapidly evolving field of data engineering, all while being part of a leading technology consultancy located in a thriving tech hub. Join us to be at the forefront of data solutions and enjoy the benefits of working in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in York
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and ETL processes. 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. Practice explaining your experience with data integration and API development, as well as your familiarity with tools like Databricks. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior Engineer, Data Engineering in York
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 ETL processes, as well as any work you've done with Databricks. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've designed or maintained data infrastructure. Talk about the challenges you faced and how you overcame them. This gives us a clear picture of your hands-on experience and problem-solving skills.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication that gets right to the heart of your qualifications.
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 shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Agilis Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've implemented ETL processes or worked with Databricks. The more you can showcase your technical expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in data integration or database management. Think of examples where you had to troubleshoot issues or optimise processes. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Collaboration is Key
Since you'll be working with cross-functional teams, be ready to discuss how you've collaborated with others in the past. Highlight any experience you have in gathering data requirements or working alongside data analysts to ensure everyone is on the same page.
✨Documentation Matters
Don't forget to mention your approach to documentation! Talk about how you maintain clear records of data processes and workflows. This shows that you value organisation and communication, which are crucial for seamless project delivery.
