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- Tasks: Transform business needs into data solutions and mentor junior engineers.
- Company: Join a dynamic team recognised for managing data as a key asset.
- Benefits: Enjoy hybrid working, competitive pay, and growth opportunities.
- Why this job: Be part of innovative projects that drive impactful data insights.
- Qualifications: Experience in Azure Data Engineering and strong communication skills required.
- Other info: SC clearance is necessary; we value diversity and inclusivity.
The predicted salary is between 50400 - 84000 £ per year.
Location: Warrington and Solihull (Hybrid Working)
Rate: Circa £700/Day
Working Pattern: Full Time
Security Clearance: SC Cleared Required
Contact: Till end of October
Are you ready to elevate your career as an Azure Data Engineer? Join our client's dynamic Data Engineering team, where you'll play a pivotal role in shaping data solutions that drive business success!
Key Purpose:
As a Senior Data Engineer (SDE), you will collaborate with BI Analysts and Developers to transform functional requirements into actionable technical data solutions. Your expertise will be crucial in designing and building ETLs/ELTs, data warehouses, and robust data models, while ensuring data security and optimal performance.
Skills & Experience:
- Proven experience in Azure Data Engineering, particularly with Azure Data Factory, Synapse, and Databricks.
- Strong understanding of Agile and DevOps methodologies.
- Solid BI knowledge and experience in data quality management and master data management.
- Technical proposal skills to articulate considered approaches and innovations.
- Excellent analytical solutions design and data exploration capabilities.
What You'll Do:
- Transform Data Needs: Translate business requirements into effective data analytics designs.
- Build and optimise: Design, develop, and test solutions that enhance data exploration and analysis.
- Mentorship: Provide guidance to junior Data Engineers, sharing knowledge and best practices.
- Collaborate: Work closely with various teams to deliver projects and optimise performance.
- Innovate: Develop prototypes and analytical models to uncover new business insights.
Why Join Us?
- Impactful Work: Be part of a team recognised for its vital role in managing data as a key asset.
- Growth Opportunities: Work with experienced professionals and expand your skills while contributing to innovative projects.
- Collaborative Culture: Engage with a variety of stakeholders, from BI developers to IT partners, fostering a team-oriented environment.
What We're Looking For:
- A strategic thinker who can implement technical roadmaps and adapt to evolving business needs.
- Strong communication skills to effectively convey technical concepts to both technical and business stakeholders.
- A proactive approach to problem-solving and continuous improvement.
Ready to make a difference in the world of data engineering? If you are passionate about Azure technologies and want to help shape a data-driven organisation, we want to hear from you! Apply Now! Don't miss the chance to be part of this exciting journey.
Note: Only candidates with SC clearance will be considered.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Contact Detail:
Pontoon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Familiarise yourself with Azure Data Factory, Synapse, and Databricks. These are key tools for the role, so having hands-on experience or relevant projects to discuss can really set you apart during conversations.
✨Tip Number 2
Brush up on Agile and DevOps methodologies. Being able to speak confidently about how you've applied these practices in previous roles will demonstrate your ability to fit into their collaborative culture.
✨Tip Number 3
Prepare to discuss your experience with data quality management and master data management. Highlight specific examples where you've improved data integrity or streamlined processes, as this is crucial for the position.
✨Tip Number 4
Showcase your mentorship skills. Be ready to share instances where you've guided junior engineers or collaborated with cross-functional teams, as this aligns with their emphasis on teamwork and knowledge sharing.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Engineering, particularly with Azure Data Factory, Synapse, and Databricks. Use specific examples to demonstrate your skills in designing ETLs/ELTs and data warehouses.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the job requirements. Mention your understanding of Agile and DevOps methodologies and your ability to communicate technical concepts effectively.
Showcase Your Problem-Solving Skills: Provide examples in your application that illustrate your proactive approach to problem-solving and continuous improvement. Highlight any innovative solutions you've developed in previous roles.
Highlight Collaboration Experience: Emphasise your experience working collaboratively with BI Analysts, Developers, and other stakeholders. Mention any mentorship roles you've taken on, as this aligns with the company's focus on teamwork and knowledge sharing.
How to prepare for a job interview at Pontoon
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure Data Factory, Synapse, and Databricks during the interview. Be prepared to discuss specific projects where you successfully implemented these technologies and how they contributed to data solutions.
✨Demonstrate Agile and DevOps Knowledge
Since the role requires a strong understanding of Agile and DevOps methodologies, be ready to explain how you've applied these practices in previous roles. Share examples of how you collaborated with teams to deliver projects efficiently.
✨Prepare for Technical Proposals
The ability to articulate technical proposals is crucial. Think of innovative approaches you've taken in past projects and be ready to discuss them. This will show your strategic thinking and problem-solving skills.
✨Emphasise Collaboration and Mentorship
Highlight your experience working with cross-functional teams and mentoring junior engineers. Discuss how you’ve fostered a collaborative environment and shared best practices to enhance team performance.
