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For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines using Azure Synapse and Spark.
- Company: Join a forward-thinking partner focused on innovative data solutions.
- Benefits: Enjoy remote work flexibility and competitive pay of £550/day outside IR35.
- Why this job: Be at the forefront of data architecture, shaping enterprise-scale environments with cutting-edge technology.
- Qualifications: Experience with Synapse, Spark, Python, and strong communication skills are essential.
- Other info: This is a 3-month contract role with immediate start available.
Role: Azure Data Engineer/Architect with Customer-Facing Experience
Duration: 3 Months Initially
Location: Remote (UK)
Start Date: ASAP
Rate: £550p/day Outside IR35
About The Role
Our partner is looking for a Senior Data Engineer/Architect to play a key role in shaping their data infrastructure, leveraging the latest Azure technologies. You will be working hands-on with Synapse and Spark technologies in enterprise-scale data environments. Additionally, you will gain exposure to Microsoft Fabric.
This is a contract role for an experienced and customer-facing person who thrives in complex data environments and can also bridge the gap between hands-on engineering and data architecture.
Responsibilities
- Design, build and maintain scalable data pipelines using Synapse and Spark.
- Develop and optimise data processing code in Python and PySpark.
- Support data architecture design and ensure alignment with enterprise data strategy.
- Collaborate with business and technical stakeholders to gather and refine requirements.
- Provide technical leadership and direction to other engineers and analysts on the team.
- Ensure the integrity, reliability and security of data infrastructure.
- Champion best practices in data modelling, governance and performance optimisation.
Required Skills/Experience
- Experience in Synapse, Spark and enterprise data integrations.
- Solid command of Python and Spark clusters.
- Ability to architect end-to-end data solutions across complex systems.
- Strong communication and stakeholder management skills.
- Experience leading or mentoring team members or cross-functional data teams.
Desirable Skills
- Proven experience implementing commercial Microsoft Fabric solutions within an enterprise environment.
- Understanding of OneLake and lakehouse architecture, pipelines and data quality principles.
Azure Data Engineer/Architect - Customer Facing Role - Outside IR35 Contract employer: WüNDER_TALENT
Contact Detail:
WüNDER_TALENT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer/Architect - Customer Facing Role - Outside IR35 Contract
✨Tip Number 1
Make sure to highlight your customer-facing experience during any discussions. This role specifically requires strong communication skills and the ability to manage stakeholders, so be prepared to share examples of how you've successfully navigated complex client interactions.
✨Tip Number 2
Familiarise yourself with the latest Azure technologies, especially Synapse and Spark. Being able to discuss recent projects or innovations in these areas will demonstrate your up-to-date knowledge and passion for the field.
✨Tip Number 3
Prepare to discuss your experience with data architecture and engineering. Be ready to explain how you've designed and maintained scalable data pipelines, as this is a key responsibility of the role.
✨Tip Number 4
Showcase your leadership skills by discussing any mentoring or team-leading experiences. This role involves providing technical direction, so demonstrating your ability to guide others will set you apart from other candidates.
We think you need these skills to ace Azure Data Engineer/Architect - Customer Facing Role - Outside IR35 Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Synapse, and Spark technologies. Emphasise any customer-facing roles you've had and how you've successfully collaborated with stakeholders.
Craft a Compelling Cover Letter: In your cover letter, explain why you're the perfect fit for this role. Mention specific projects where you've designed and built data pipelines, and how your skills align with the responsibilities outlined in the job description.
Showcase Technical Skills: Clearly list your technical skills related to Python, PySpark, and data architecture. Provide examples of how you've used these skills in previous roles, especially in complex data environments.
Highlight Leadership Experience: If you have experience leading or mentoring teams, make sure to include this in your application. Discuss how you've provided technical direction and supported team members in achieving their goals.
How to prepare for a job interview at WüNDER_TALENT
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure, Synapse, and Spark in detail. Highlight specific projects where you've designed and built data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Customer-Facing Experience
Since this role requires customer interaction, share examples of how you've successfully collaborated with stakeholders. Discuss how you gathered requirements and ensured alignment with business needs, showcasing your strong communication skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in complex data environments. Prepare to walk through scenarios where you had to architect end-to-end data solutions, focusing on your thought process and decision-making.
✨Emphasise Leadership and Mentoring
If you've led or mentored teams, make sure to highlight these experiences. Discuss how you provided technical direction and supported team members, as this will demonstrate your ability to take on a leadership role within the organisation.
