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- Tasks: Build and optimise data pipelines using Azure Data Factory and Databricks.
- Company: Join a growing consultancy focused on innovative data engineering solutions.
- Benefits: Enjoy remote work, competitive salary, and exposure to cutting-edge technologies.
- Why this job: Work on exciting projects with a supportive team that values growth and collaboration.
- Qualifications: 2-5 years in data engineering, experience with Azure, SQL, and programming languages.
- Other info: Learn from industry experts and accelerate your career in a dynamic environment.
The predicted salary is between 50000 - 70000 £ per year.
Are you a passionate Azure Data Engineer looking to develop your expertise in Databricks and cutting-edge cloud technologies? Join a dynamic team at a growing consultancy, where you'll work on exciting projects that push the boundaries of data engineering.
What You’ll Be Doing:
- Building and optimising data pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
- Developing and maintaining ETL processes to support data-driven decision-making.
- Working with Python, SQL, and Spark to transform and analyse large datasets.
- Collaborating with data scientists, analysts, and cloud engineers to deliver impactful solutions.
- Learning from senior engineers and industry experts to accelerate your career growth.
What We’re Looking For:
- 2-5 years of experience in a data engineering role.
- Hands-on experience with Azure cloud services, particularly Databricks.
- Proficiency in SQL and at least one programming language (Python, Scala, or Java).
- Knowledge of ETL pipelines, data modelling, and cloud-based data architectures.
- Strong problem-solving skills and a desire to learn from experienced professionals.
What’s on Offer?
- Salary: £50,000 - £70,000 (depending on experience).
- Remote working model.
- Exposure to leading-edge technologies and real-world data challenges.
- A supportive team that values growth, innovation, and collaboration.
If you're eager to take the next step in your data engineering career, apply today!
Data Engineer employer: DATAHEAD
Contact Detail:
DATAHEAD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network with professionals in the data engineering field, especially those who work with Azure technologies. Attend meetups or webinars focused on Azure Data Factory and Databricks to connect with potential colleagues and learn about their experiences.
✨Tip Number 2
Showcase your hands-on experience with Azure services by contributing to open-source projects or building your own projects. This practical experience can set you apart and demonstrate your skills in a real-world context.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems, particularly those involving SQL and Python. Use platforms like LeetCode or HackerRank to sharpen your coding skills and problem-solving abilities.
✨Tip Number 4
Research the company culture and values of the consultancy you're applying to. Tailor your conversations during interviews to reflect how your personal values align with theirs, showing that you're not just a fit for the role but also for the team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Azure services like Databricks and Azure Data Factory. Use specific examples to demonstrate your skills in SQL, Python, and ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your eagerness to work with cutting-edge technologies. Mention how your background aligns with the job requirements and express your enthusiasm for joining the consultancy.
Showcase Relevant Projects: If you have worked on projects involving data pipelines or cloud technologies, include them in your application. Describe your role, the technologies used, and the impact of your work to demonstrate your hands-on experience.
Highlight Continuous Learning: Emphasise your commitment to professional development by mentioning any relevant courses, certifications, or workshops you've completed. This shows your desire to learn from industry experts and grow within the field.
How to prepare for a job interview at DATAHEAD
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Factory, Databricks, and Synapse Analytics. Highlight specific projects where you built or optimised data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of how you've tackled complex data issues in the past, particularly using Python, SQL, or Spark. This will show your analytical thinking and ability to deliver impactful solutions.
✨Emphasise Collaboration Experience
Since the role involves working closely with data scientists, analysts, and cloud engineers, share experiences where you collaborated effectively in a team. Discuss how you communicated technical concepts to non-technical stakeholders to ensure project success.
✨Express Your Willingness to Learn
The company values growth and learning, so convey your eagerness to learn from senior engineers and industry experts. Mention any recent courses or certifications you've pursued related to data engineering or cloud technologies to demonstrate your commitment to professional development.
