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For Companies At a Glance
- Tasks: Design and optimise data pipelines to support analytics and decision-making.
- Company: Join a client acquisition agency focused on transparency and results in the legal sector.
- Benefits: Enjoy hybrid working, career growth opportunities, and access to professional development resources.
- Why this job: Make a real impact in a collaborative culture while advancing your data engineering skills.
- Qualifications: Strong background in data engineering with experience in AWS services and data lakes.
- Other info: This is a permanent position based in Manchester, offering a competitive salary.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
This is an exciting opportunity for a Senior Data Engineer to contribute to impactful projects within the Business Services industry. Based in Manchester, this role focuses on designing, building, and optimising data pipelines and systems to support analytics and decision-making.
Client Details
We are a client acquisition agency with a focus on the legal sector, founded on the core values of transparency, integrity, and a clear, results-oriented approach. We take pride in delivering carefully profiled leads that align with your specific requirements.
We are looking for a Senior Data Engineer to support us as we continue to build and develop or data ecosystem. This role requires someone who is comfortable wearing many hats, from building out pipelines, to supporting architectural decision making, to project and stakeholder management. In return the successful candidate will play a key role in helping us deliver our data strategy and take on more responsibility as the business continues to grow.
Description
The successful Senior Data Engineer will be responsible for, but not limited to:
- Design and maintain scalable data pipelines to support analytics initiatives.
- Develop and optimise data warehouse architecture for efficient storage and retrieval.
- Collaborate with analytics teams to translate business needs into technical solutions.
- Implement data quality measures to ensure accuracy and reliability.
- Document processes and provide technical guidance to team members as needed.
Profile
The successful Senior Data Engineer should have:
- A strong background in data engineering or related fields.
- Strong experience with the followingAWS services:
- DynamoDB
- Glue
- S3
- Athena
- Proven experience working with data lakes and large-scale data processing
- Excellent communication and data storytelling skills
Job Offer
The successful Senior Data Engineer will be able to benefit from:
- A competitive salary details available on request., depending on experience.
- Permanent position with opportunities for career growth.
- Hybrid working, 2 days in the Manchester city centre office
- Access to professional development resources.
- Be part of an innovative and collaborative culture in Manchester.
If you are a Data Engineer looking to make an impact in the Business Services industry, we encourage you to apply today!
Senior Data Engineer employer: Michael Page Technology
Contact Detail:
Michael Page Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as DynamoDB, Glue, S3, and Athena. Having hands-on experience or projects that showcase your skills with these tools will make you stand out during discussions.
✨Tip Number 2
Prepare to discuss your experience with data lakes and large-scale data processing. Be ready to share examples of how you've designed and optimised data pipelines in previous roles, as this will demonstrate your capability to handle the responsibilities of the position.
✨Tip Number 3
Brush up on your communication and data storytelling skills. Since the role involves collaborating with analytics teams and translating business needs into technical solutions, being able to convey complex data concepts clearly will be crucial.
✨Tip Number 4
Research our company culture and values, particularly around transparency and integrity. Showing that you align with our core values during your interactions can help you connect better with the team and demonstrate your fit for the role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with AWS services like DynamoDB, Glue, S3, and Athena. Use specific examples to demonstrate your skills in building data pipelines and optimising data architecture.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention how your background aligns with their core values of transparency and integrity, and explain how you can contribute to their data strategy.
Showcase Your Technical Skills: In your application, emphasise your technical expertise in data lakes and large-scale data processing. Provide examples of past projects where you successfully implemented data quality measures and collaborated with analytics teams.
Highlight Communication Skills: Since excellent communication and data storytelling skills are essential for this role, include instances where you've effectively communicated complex data concepts to non-technical stakeholders or team members.
How to prepare for a job interview at Michael Page Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS services like DynamoDB, Glue, S3, and Athena. Highlight specific projects where you've designed and optimised data pipelines or worked with data lakes, as this will demonstrate your technical expertise.
✨Communicate Clearly
Since the role requires excellent communication skills, practice explaining complex data concepts in simple terms. Be ready to share examples of how you've translated business needs into technical solutions, as this will showcase your ability to collaborate effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to implement data quality measures or manage stakeholder expectations. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Your Adaptability
The job requires someone who can wear many hats. Share experiences where you've taken on diverse responsibilities, such as project management or architectural decision-making. This will show your flexibility and readiness to contribute to the team's success.
