At a Glance
- Tasks: Lead and deliver innovative Data Engineering solutions while mentoring teams and driving client engagement.
- Company: Join Dufrain, a top data consultancy transforming businesses through cutting-edge data solutions.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional growth.
- Why this job: Be part of a culture that values innovation, collaboration, and making a real impact in the data space.
- Qualifications: Proven Data Engineering experience, strong leadership skills, and expertise in Spark and Azure technologies required.
- Other info: Dufrain is committed to diversity and equal opportunity; all backgrounds are encouraged to apply.
The predicted salary is between 43200 - 72000 £ per year.
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We are Dufrain, a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services which includes developing strategies for AI readiness, improving data literacy and enhancing real-time reporting.
Our Microsoft Data Engineering Practice delivers end-to-end data platforms and engineering pipelines across Microsoft Fabric, Azure Synapse Analytics and Azure Data Bricks, alongside strategic guidance and governance support across a wide range of industries.
As an expert Data Engineer Consultant, you’ll play a pivotal role in shaping Data Engineering strategy, mentor and manage delivery teams, driving platform adoption, and ensuring high-quality outcomes for our clients. This is an exciting opportunity for an experiencedconsultant who thrives on variety and strategic work but is still happy to get hands-on with all aspects of Data Engineering from Data Modelling and design through to developing in Spark and SQL.
Role Responsibilities
- Lead end-to-end Data Engineering solution delivery on complex engagements, ensuring technical excellence and business value.
- Mentor and guide Data Engineering teams, fostering a culture of knowledge sharing, continuous improvement, and high-quality delivery.
- Own and drive pre-sales engagements, collaborating with sales teams to develop compelling proposals and solutions.
- Ensure best practices in data engineering, governance, security, and compliance.
- Collaborate closely with clients to understand their business needs and translate them into robust technical solutions.
- Act as a subject matter expert in Microsoft Fabric, advising both internal teams and clients on best practices and strategic implementations.
- Conduct technical presentations, demonstrations, and workshops to showcase solutions to potential clients.
- Foster a culture of innovation, collaboration, and continuous improvement within the team.
- Facilitate requirements workshops and design sessions, engaging both technical and non-technical stakeholders to co-create solutions.
- Support revenue generation and brand building activity, including presenting demos to external stakeholders and scoping client needs to support the commercial process.
- Own and drive delivery plans, structuring high-quality work, managing risks and dependencies, and communicating effectively with senior stakeholders to ensure alignment with strategic goals.
Skills and experience required
- Proven experience in Data Engineering, with hands-on expertise with Spark (hands on experience of Microsoft Fabric is beneficial), some of which should be in a consulting professional servicescapacity.
- Strong leadership skills, with experience managing teams in a consulting or enterprise environment.
- Ability to drive and lead pre-sales discussions, including solution design, estimation, and proposal writing.
- Extensive experience in designing and implementing data pipelines, data lakes, and data warehouses.
- Strong knowledge of ETL processes, data modelling, and cloud-based solutions.
- Excellent stakeholder management and communication skills.
- Experience working with Azure Data Services, SQL, Python, and/or other relevant technologies.
- Ability to thrive in a fast-paced environment and manage multiple projects simultaneously.
Desirable Qualifications:
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
What to do next
If you’re passionate about data, and you’re looking to join a leading data and analytics company based in the UK, you could find your dream role at Dufrain.
Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work in the UK and not require sponsorship now or in the future. Visa sponsorship is not available.
We are an equal opportunity employer and value diversity at our company.. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, age, or any other status protected by law. All qualified applicants will receive consideration for employment without regard to these factors. We encourage applications from individuals of all backgrounds and experiences.
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Data Engineer Expert/Manager employer: Dufrain
Contact Detail:
Dufrain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Expert/Manager
✨Tip Number 1
Familiarise yourself with Microsoft Fabric and Azure Data Services, as these are crucial for the role. Consider taking online courses or certifications to deepen your understanding and demonstrate your commitment to potential employers.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with Dufrain or similar companies. Attend industry events, webinars, or local meetups to make connections that could lead to job opportunities.
✨Tip Number 3
Prepare to discuss your hands-on experience with Spark and SQL during interviews. Be ready to share specific examples of projects you've worked on, focusing on your problem-solving skills and how you delivered value to clients.
✨Tip Number 4
Showcase your leadership abilities by highlighting any mentoring or team management experiences. Dufrain values strong leadership, so be prepared to discuss how you've fostered collaboration and continuous improvement in previous roles.
We think you need these skills to ace Data Engineer Expert/Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Data Engineering, particularly with Spark and Microsoft Fabric. Use specific examples that demonstrate your leadership skills and technical expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your understanding of Dufrain's mission. Mention how your skills align with the role's responsibilities and how you can contribute to their team.
Highlight Certifications: If you have any relevant certifications, such as Microsoft Certified: Fabric Analytics Engineer Associate or Fabric Data Engineer Associate, make sure to include them prominently in your application.
Showcase Stakeholder Management Skills: In your application, provide examples of how you've successfully managed stakeholders in previous roles. This is crucial for the position, so be specific about your communication strategies and outcomes.
How to prepare for a job interview at Dufrain
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Spark, SQL, and Azure Data Services. Highlight specific projects where you implemented data pipelines or data lakes, as this will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Leadership Skills
Since the role involves mentoring and managing teams, share examples of how you've successfully led teams in a consulting environment. Discuss your approach to fostering collaboration and continuous improvement within your team.
✨Prepare for Pre-Sales Discussions
Understand the importance of pre-sales engagements in this role. Be ready to talk about your experience in solution design, estimation, and proposal writing. This will show that you can contribute to the business development aspect of the position.
✨Engage with Stakeholders Effectively
Highlight your excellent communication skills by discussing how you've engaged with both technical and non-technical stakeholders in previous roles. Provide examples of how you translated business needs into technical solutions, which is crucial for this position.