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- Tasks: Join a dynamic team to design and maintain data infrastructure and ETL pipelines.
- Company: Agilis partners with a leading tech consultancy focused on innovative data solutions.
- Benefits: Enjoy a fast-growing environment with opportunities for professional growth and development.
- Why this job: Be part of exciting projects that impact clients through data-driven insights and automation.
- Qualifications: Bachelor's degree in IT or related field; strong SQL and Python skills required.
- Other info: Experience with Databricks and API development is a plus.
The predicted salary is between 43200 - 72000 £ per year.
Agilis are currently working exclusively with a key client who are a leading technology consultancy in their search for a Senior 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.
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 Data Analysis Engineer employer: Agilis Recruitment
Contact Detail:
Agilis Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analysis Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its functionalities. Since the role specifically mentions experience with Databricks, showcasing your knowledge or any projects you've worked on using this platform can set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL and Python skills. Given that these are crucial for the role, consider working on personal projects or contributing to open-source projects that involve data engineering to demonstrate your proficiency.
✨Tip Number 3
Network with professionals in the data engineering field. Attend meetups or webinars related to data engineering and analytics, as this can help you gain insights into industry trends and potentially connect you with someone at the company.
✨Tip Number 4
Prepare to discuss your experience with ETL processes and data integration during interviews. Be ready to share specific examples of how you've designed and maintained ETL pipelines, as this will demonstrate your hands-on experience and problem-solving skills.
We think you need these skills to ace Senior Data Analysis Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, ETL processes, and data integration. Use specific examples from your past roles that demonstrate your skills in these areas, especially any work done in Databricks.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience in designing and maintaining data infrastructure and your ability to collaborate with cross-functional teams.
Showcase Relevant Projects: If you have worked on relevant projects, include them in your application. Describe your role, the technologies used, and the outcomes achieved. This will help demonstrate your practical experience and problem-solving abilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at Agilis Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and ETL processes in detail. Bring examples of past projects where you designed and maintained data infrastructure, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Data Needs
Research the company and its clients to understand their data requirements. This will help you tailor your responses during the interview and show that you are genuinely interested in how you can contribute to their data initiatives.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data integration and validation. Practise articulating your thought process clearly, as this will showcase your analytical skills and problem-solving abilities.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, be ready to discuss how you have successfully collaborated with others in previous roles. Highlight any experiences where you gathered data requirements or worked on joint projects.
