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- Tasks: Design and develop scalable ETL pipelines and maintain data infrastructure.
- Company: Join a fast-growing tech consultancy with a forward-thinking approach.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by enhancing data engineering for exciting projects.
- Qualifications: Experience in SQL, Python, and ETL processes; strong problem-solving skills.
- Other info: Dynamic team environment with excellent collaboration and career advancement opportunities.
The predicted salary is between 36000 - 60000 £ 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 helping 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.
Key Responsibilities:
- Design and Development: 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.
- Strategic Solution Design:
- 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. Ensure efficient storage, retrieval, and management of large datasets.
- API Management: Develop and maintain APIs for data access and integration. Utilize tools like Postman for API testing and documentation. A good understanding of working with APIs: Ensure robust and efficient API integration and management.
- 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.
- Collaboration and Communication: Collaborate with colleagues to gather requirements and translate them into technical specifications. 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.
- Experience with ETL processes and tools.
- 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.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
For more information please apply using the link or get in touch with Edd @ Agilis Recruitment.
Data Engineer employer: Agilis Recruitment Ltd
Contact Detail:
Agilis Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨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 that aren't even advertised yet.
✨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 past projects and how you tackled challenges. Confidence is key, so make sure you can articulate your experience clearly!
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
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, Python, and ETL processes. 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 you can contribute to our team. Keep it concise but impactful.
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's designing ETL pipelines or working with APIs, we love to see practical examples of your work.
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 this exciting opportunity. We can't wait to hear from you!
How to prepare for a job interview at Agilis Recruitment Ltd
✨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 demonstrate your technical expertise, the better!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data integration challenges in the past. Think about times when you had to ensure data quality or manage large datasets. This will show that you can think critically and handle the responsibilities of the role.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex technical concepts in simple terms. You might be asked to describe your approach to a project or how you work with cross-functional teams, so clarity is crucial.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data initiatives and team dynamics. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and work style.