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- Tasks: Design and maintain scalable data pipelines for advanced analytics and AI-driven projects.
- Company: Join Quantios, a leader in enterprise data solutions with a collaborative culture.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of data engineering and make a real impact on innovative analytics.
- Qualifications: 4+ years in data engineering with strong skills in Python, SQL, and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
As a Data Engineer at Quantios, you will play a critical role in building and maintaining the data foundation for Quantios Insights, our enterprise data platform that integrates data from all Quantios products and powers advanced analytics, MCP-based automation, and AI-driven use cases. You will design and operate robust data pipelines, ensure data quality and governance, and collaborate closely with developers, architects, and business stakeholders to deliver curated, reliable, and scalable datasets.
Job Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Databricks, or Snowflake.
- Develop data ingestion processes for structured, semi-structured, and event-based data from Quantios products.
- Build scalable dataflows using Python, SQL, PySpark, or similar technologies.
- Implement automated data refresh, validation, and monitoring processes.
- Ensure pipelines are efficient, cost-effective, and aligned with enterprise data architecture standards.
Qualifications
- 4+ years of experience in data engineering, preferably within cloud-based or enterprise environments.
- Hands-on experience with one or more: Microsoft Fabric, Azure Databricks, Snowflake.
- Strong skills in Python and SQL, with exposure to PySpark or Spark SQL.
- Experience with Azure Data Lake Storage, Delta Lake, ELT/ETL pipelines, and medallion architecture.
- Familiarity with Power BI, Fabric semantic models, or equivalent BI modelling tools.
- Practical experience integrating with CI/CD tools, especially Azure DevOps.
- Understanding of data governance, cataloguing, and metadata management (e.g., Purview, Unity Catalog).
- Exposure to AI-related data preparation (RAG datasets, embeddings, unstructured text processing) is a plus.
- Excellent problem-solving skills, ability to work across teams, and strong communication skills.
Data Engineer (UK) Fleet, GB # in Hampshire employer: Quantios Management Services Ltd.
Contact Detail:
Quantios Management Services Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (UK) Fleet, GB # in Hampshire
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with data engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, or any cool stuff you've built using Python, SQL, or Databricks. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with ETL/ELT processes and data governance. Practise common interview questions and maybe even do some mock interviews with friends.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us at Quantios. It shows initiative and helps us get to know you better right from the start.
We think you need these skills to ace Data Engineer (UK) Fleet, GB # in Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, ETL/ELT processes, and any relevant technologies like Microsoft Fabric or Databricks. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've designed and built data pipelines or worked with cloud-based environments. This gives us a clear picture of your hands-on experience and problem-solving skills. Don't be shy about sharing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at Quantios. We love seeing enthusiasm and a good fit for our culture.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Quantios Management Services Ltd.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Microsoft Fabric, Databricks, and Snowflake. Brush up on your Python and SQL skills, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Data Pipeline Experience
Prepare specific examples of ETL/ELT pipelines you've designed or maintained. Be ready to explain the challenges you faced and how you ensured data quality and governance in your previous roles.
✨Understand the Business Context
Quantios is all about integrating data for advanced analytics. Research their products and think about how your role as a Data Engineer can impact their business goals. This will show that you’re not just technically skilled but also understand the bigger picture.
✨Communicate Clearly
Strong communication skills are key. Practice explaining complex technical concepts in simple terms, as you’ll need to collaborate with various stakeholders. Being able to articulate your thoughts clearly can set you apart from other candidates.