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- Tasks: Design and develop scalable ETL pipelines and manage data integration.
- 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: Be part of exciting projects that shape the future of data engineering.
- Qualifications: Experience in SQL, Python, and ETL processes is essential.
- Other info: Collaborative environment with strong focus on innovation and career development.
The predicted salary is between 30000 - 50000 £ 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.
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: Integrate data from multiple sources, including APIs and 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. 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
Contact Detail:
Agilis Recruitment 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 world, especially those 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've tackled challenges. Confidence is key, so let your passion for data shine through!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our 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, Python, and ETL processes. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects you've worked on, especially those involving data integration or Databricks. This gives us a clear picture of your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're excited about this opportunity. Share your passion for data engineering and how you can contribute to our team. We love a good story!
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. We can't wait to hear from you!
How to prepare for a job interview at Agilis Recruitment
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to ETL processes and data integration. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data engineering. Think about times when you had to design scalable ETL pipelines or ensure data quality. Highlight your thought process and the impact of your solutions on previous projects.
✨Familiarise Yourself with Databricks
If you have experience with Databricks, be ready to discuss it in detail. If not, do some research on its features and functionalities. Understanding how to manage permissions and access controls within Databricks can set you apart from other candidates.
✨Communicate Clearly
Since collaboration is key in this role, practice articulating your thoughts clearly. Be prepared to explain technical concepts in a way that non-technical team members can understand. This will demonstrate your ability to work effectively with cross-functional teams.