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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 and accelerate your career in a dynamic environment.
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
Make sure to showcase your hands-on experience with Azure services, especially Databricks. Highlight any specific projects where you've built or optimized data pipelines, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in data engineering and cloud technologies. Being able to discuss recent advancements or tools in your interview can demonstrate your passion and commitment to the field.
✨Tip Number 3
Prepare to discuss your problem-solving skills with real-world examples. Think of challenges you've faced in previous roles and how you overcame them, particularly in relation to ETL processes or data transformation.
✨Tip Number 4
Network with current or former employees of the consultancy. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
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, emphasizing your problem-solving skills and desire to learn.
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. Describe your role and the impact of your contributions to highlight your hands-on experience.
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 the role involves working with data scientists and analysts, emphasize your teamwork and communication skills. Share experiences where collaboration led to successful project outcomes.
✨Express Your Willingness to Learn
The company values growth and learning, so convey your eagerness to learn from senior engineers. Discuss any recent courses or certifications you've pursued to enhance your skills in data engineering.
