At a Glance
- Tasks: Design and deliver innovative data solutions to help businesses unlock their data potential.
- Company: Dufrain, a leading data consultancy with a focus on AI readiness and data literacy.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work in a collaborative environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and make a real impact on clients' data strategies.
- Qualifications: Strong experience in Azure, Python, and data engineering principles.
The predicted salary is between 50000 - 70000 € per year.
Dufrain is 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 culture, enhancing real-time reporting, and managing data from mergers and acquisitions.
Our Data Engineers provide expertise, guidance, and strategic advice to clients in order to help them effectively leverage their data assets for making informed decisions and achieving their business objectives. This role is UK-based (Edinburgh, Manchester, or London) with hybrid working. Occasional on-site attendance at client locations as required.
Requirements
- Essential Technical skills and experience:
- Strong experience designing and delivering data solutions on Azure
- Excellent working knowledge of Python, Apache Spark, and SQL
- Broad data engineering skillset; with preference in either Microsoft Fabric, Databricks or Snowflake
- Proven delivery of multiple solutions using Data Governance, Data Migration, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data Management, and BI
- Solid understanding of engineering delivery processes: Agile & DevOps, Git, APIs, containers, microservices, and data pipelines
- Highly desirable skills and experience:
- Experience with one or more of Databricks, Snowflake, Azure Data Factory, Azure Synapse, or Microsoft SQL/SSIS
- Hands-on experience building data pipelines using Azure Data Factory, Pipelines, Notebooks, and Dataflows Gen2
- Good working knowledge of Lakehouse components: Delta Lake, Unity Catalog/One Lake, ML Flow, Databricks Asset Bundles, Fabric CICD, Real Time Analytics/Structured Streaming, etc.
- Desirable Certifications:
- Databricks Data Engineer Associate
- Databricks Data Engineer Professional
- Microsoft DP-600 or DP-700
Data Engineer employer: Description Dufrain
Dufrain is an exceptional employer that fosters a dynamic and inclusive work culture, empowering Data Engineers to thrive in their careers while working on cutting-edge data solutions. With a strong emphasis on employee growth, Dufrain offers continuous learning opportunities and the flexibility of hybrid working arrangements across vibrant UK locations such as Edinburgh, Manchester, and London, making it an ideal place for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure, Python, and SQL. We want to see your hands-on experience, so make sure to highlight any cool data solutions you've delivered.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. We recommend practising how you'd tackle real-world problems using tools like Databricks or Snowflake. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers. By applying directly, you’ll get a better chance to showcase your passion for data and how you can contribute to our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure, Python, and any relevant data solutions you've worked on. We want to see how your skills match what we're looking for!
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 help us unlock the true value of data for our clients. Keep it engaging and personal.
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's building data pipelines or using Databricks, we love to see real examples of your work that demonstrate your skills.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Description Dufrain
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Azure, Python, and SQL. Be ready to discuss your experience with data solutions and how you've applied them in real-world scenarios. This will show that you’re not just familiar with the tools but can actually use them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you improved data processes or solved complex problems. This will demonstrate your ability to think critically and adapt to different situations.
✨Understand Their Business Needs
Research Dufrain and their clients to understand their data challenges and objectives. Tailor your answers to show how your skills can help them unlock the true value of their data. This shows that you’re genuinely interested in the role and can align your expertise with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategies, team dynamics, and future projects. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!
