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- Tasks: Unlock the power of data by developing end-to-end solutions and leading client workshops.
- Company: Join a fast-growing, Microsoft-focused IT consultancy with a collaborative culture.
- Benefits: Competitive salary, home-based work, and opportunities for continuous learning.
- Why this job: Make a real impact by solving complex data challenges in a team-first environment.
- Qualifications: Experience in Data Engineering, strong SQL and Python skills, and familiarity with Microsoft platforms.
- Other info: Monthly travel to London required; inclusive workplace welcoming all qualified candidates.
The predicted salary is between 34000 - 46000 £ per year.
Please note – you must be based in the UK with the unrestricted right to work in the UK to be eligible for this role, this organisation is not able to offer sponsorship. Whilst this is a home-based role, you will be required to travel to London on a monthly basis.
Are you passionate about unlocking the power of data to drive business success? We\’re looking for a skilled Data Engineer to join a fast-growing, Microsoft-focused IT consultancy. You\’ll work in an agile team to deliver end-to-end data solutions that help clients gain real value from their data.
We foster an inclusive, collaborative culture built on integrity, continuous learning, and a commitment to excellence. If you thrive in a team-first environment and enjoy solving complex data challenges, we\’d love to hear from you.
Responsibilities:
- Develop and deliver end-to-end data solutions, including acquisition, engineering, modelling, analysis, and visualisation.
- Lead client workshops to gather requirements and communicate effectively across technical and business stakeholders.
- Design and implement ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, or Databricks – experience with at least one of these platforms is essential.
- Build scalable data lake solutions using medallion architecture principles.
- Migrate legacy on-premises data systems (SQL Server, SSIS, SSAS, SSRS) to cloud-based platforms.
- Create insightful dashboards and reports using Power BI to support data-driven decision-making.
- Provide post-deployment support and continuous improvement of data solutions.
Required Experience:
- Proven experience in Data Engineering or Data Warehouse Development.
- Hands-on expertise with Microsoft Fabric, Azure Synapse, or Databricks.
- Strong SQL and Python skills, including stored procedures and notebooks.
- Knowledge of data lake design and large-scale data integration.
- Familiarity with Power BI, MDX/DAX, and data warehousing concepts.
- Certifications such as DP-600, DP-700, or Databricks are a plus.
- Excellent communication and relationship-building skills.
We are an equal opportunities employer and welcome applications from all qualified candidates. We are committed to making our workplace inclusive and welcoming for all employees.
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Data Engineering Consultant - Home-Based - £40-55K employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Consultant - Home-Based - £40-55K
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data solutions, dashboards, and any projects you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Be ready to discuss your experience with Microsoft Fabric, Azure Synapse, or Databricks, as these are key to landing the job.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineering Consultant - Home-Based - £40-55K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in data engineering, especially with Microsoft Fabric, Azure Synapse, or Databricks. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how your experience aligns with our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with ETL/ELT pipelines, data lakes, or Power BI dashboards. This gives us a glimpse into your hands-on experience and problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Data Tools
Make sure you brush up on your knowledge of Microsoft Fabric, Azure Synapse, and Databricks. Be ready to discuss your hands-on experience with these platforms, as well as any projects you've completed using them. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about situations where you led client workshops or collaborated with stakeholders to gather requirements. This will demonstrate your ability to communicate effectively and work within a team-first environment.
✨Highlight Your SQL and Python Expertise
Since strong SQL and Python skills are essential for this role, be ready to discuss your experience with stored procedures and notebooks. You might even want to prepare a few coding examples or scenarios to illustrate your proficiency during the interview.
✨Prepare Insightful Questions
At the end of the interview, you'll likely have the chance to ask questions. Use this opportunity to inquire about the company's approach to data solutions, their team culture, or upcoming projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
