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- Tasks: Transform business needs into data solutions and mentor junior engineers.
- Company: Join a dynamic consultancy focused on innovative data engineering.
- Benefits: Enjoy hybrid working, competitive pay, and growth opportunities.
- Why this job: Make an impact in data management and collaborate with diverse teams.
- Qualifications: Experience in Azure Data Engineering and strong communication skills required.
- Other info: SC clearance is mandatory; 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.
Join us and help our client turn data into actionable insights that drive success!
Azure Data Engineer employer: Pontoon
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 demonstrate your understanding of these practices will show that you can effectively collaborate within a team and adapt to changing project requirements.
✨Tip Number 3
Prepare to discuss your experience in data quality management and master data management. Be ready to share specific examples of how you've ensured data integrity and quality in past projects.
✨Tip Number 4
Think about how you can articulate technical proposals clearly. Practice explaining complex technical concepts in simple terms, as this will be crucial when communicating with both technical and non-technical stakeholders.
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 role. 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 and Developers. Mention any mentorship roles you've taken on and how you've contributed to team success in past projects.
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 Your Problem-Solving Skills
Prepare examples of challenges you've faced in previous roles and how you approached solving them. This will showcase your proactive problem-solving abilities and your capacity for continuous improvement, which are key traits for this role.
✨Communicate Effectively
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This is crucial as you'll need to collaborate with various teams, so demonstrating strong communication skills will set you apart.
✨Emphasise Collaboration and Mentorship
Be ready to discuss your experience working in team environments and any mentorship roles you've taken on. Highlighting your ability to guide junior engineers and collaborate with BI Analysts will show that you're a team player who values knowledge sharing.
