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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
The Senior Data Engineer will play a pivotal role in developing and optimising data pipelines, ensuring the seamless flow of information across the organisation. The successful candidate will also be heavily involved in supporting our cloud migration project.
Client Details
Based in Manchester City Centre, we are a leader in our field in the UK and Ireland
We are a testing, inspection, certification, and compliance (TICC) company founded in 1859 that provides risk management solutions to ensure safety and compliance for a wide range of industries. We serve over 35,000 customers with services like electrical testing, asset management, non-destructive testing (NDT), and inspections for infrastructure, manufacturing, and healthcare facilities.
Description
The Successful Senior Data Engineer will be responsible for but not limited to:
·
- Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database
- Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts.
- Work with other members of the team or directly with business users to understand and document business requirements,
- Undertake/support the monitoring of BAU processes as directed, including undertaking root cause analysis, advising remediation options and if required delivering a solution including delivering any early lifecycle support as needed.
- Ensure that all work is carried through the environments, source controlled with regularity and deployment packages are robust and well organised.
- Mentor and support team members as well as wider business users through training, pair programming, and knowledge sharing, fostering a culture of continuous learning.
Profile
The successful Senior Data Engineer will be able to demonstrate:
- Successful delivery of complex Business Intelligence solutions using modern data platform & reporting technologies and services in Microsoft Azure. Especially Synapse, ADF and Power BI
- Stakeholder management & project ownership.
- SQL SSIS, SSRS, SSAS
- Strong data modelling knowledge
- Setup and management of code management & deployment tools
Job Offer
The successful Senior Data Engineer can expect:
- Hybrid working (2 days in the Manchester office)
- A competitive salary ranging from £70000 to £80000, DOE.
- Permanent position based in Manchester with opportunities for career growth.
- Comprehensive benefits package including a 10% pension.
- An engaging role within the industrial and manufacturing sector.
- A collaborative and supportive work environment in a reputable organisation.
If you are passionate about data engineering and are ready for a new challenge in the Manchester area, then 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.
