Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and optimize 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 of data engineering experience and proficiency in SQL and Azure services.
- Other info: Learn from industry experts to accelerate your career growth.
The predicted salary is between 40000 - 56000 £ per year.
Azure Data Engineer – Remote – £50,000-£70,000
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
Familiarize yourself with Azure Data Factory, Databricks, and Synapse Analytics. Since these are key tools for the role, having hands-on experience or even personal projects showcasing your skills with these technologies can set you apart.
✨Tip Number 2
Brush up on your SQL and Python skills, as proficiency in these languages is crucial. Consider working on sample data engineering projects that involve ETL processes to demonstrate your capabilities.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who work with Azure technologies. Engaging in relevant online communities or attending webinars can provide insights and potentially lead to referrals.
✨Tip Number 4
Show your eagerness to learn by following industry trends and advancements in cloud technologies. Mentioning specific examples of how you've kept up-to-date during your interview can highlight your commitment to growth.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure cloud services, Databricks, and relevant programming languages like Python or SQL. Use specific examples to demonstrate your skills in building data pipelines and ETL processes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and your eagerness to work with cutting-edge technologies. Mention how your background aligns with the company's projects and values, and why you want to join their team.
Showcase Relevant Projects: If you have worked on any projects involving Azure Data Factory, Databricks, or large datasets, be sure to include these in your application. Highlight your role, the technologies used, and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism, which are crucial in a data engineering role.
How to prepare for a job interview at DATAHEAD
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Azure services, especially Databricks. Highlight specific projects where you've built data pipelines or worked with ETL processes, and be ready to explain the technologies you used.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of challenges you've faced in previous roles and how you approached them, particularly in data engineering contexts.
✨Collaborate and Communicate
Since collaboration is key in this role, be ready to discuss how you've worked with data scientists, analysts, or other engineers. Share experiences that showcase your ability to communicate complex ideas clearly.
✨Express Your Willingness to Learn
The company values growth and learning, so convey your eagerness to learn from senior engineers and industry experts. Discuss any recent courses, certifications, or self-study you've undertaken to enhance your skills.
