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- Tasks: Build high-performance data pipelines and integrate AI/ML models using Databricks and Azure.
- Company: Join a dynamic team focused on innovative data solutions and cutting-edge technology.
- Benefits: Enjoy a hybrid work model, competitive salary, pension, benefits, and bonuses.
- Why this job: Be at the forefront of data engineering, collaborating with experts and driving impactful projects.
- Qualifications: 3+ years of experience in data engineering with skills in Databricks, Apache Spark, and Azure.
- Other info: Security clearance required; must have 5 years of continuous UK residency.
The predicted salary is between 42000 - 70000 £ per year.
Job Title: Azure Databricks Data Engineer Location: UK-Wide Offices – Hybrid (Primarily Remote) Salary: £70,000 to £100,000 (plus Pension, Benefits, and Bonus) We’re looking for a skilled Azure Data Engineers to join our clients team and help us build robust, scalable, and secure data platforms. In this role, you’ll work with Databricks, Apache Spark, and Azure technologies to design, develop, and implement data warehouses, lakehouses, and AI/ML models that drive our data-centric initiatives. What You’ll Do Build High-Performance Data Pipelines : Use Databricks and Apache Spark to transform and load data into Azure services. Develop Secure Data Solutions : Create data models, apply quality checks, and implement governance for accuracy and reliability. Integrate AI/ML Models : Build machine learning models in Databricks ML and Azure ML to deliver predictive insights. Optimize Performance : Monitor and enhance pipeline performance for scalability and efficiency. Collaborate Across Teams : Partner with business analysts, data scientists, and DevOps engineers to ensure seamless data solutions. Stay on the Cutting Edge : Keep pace with big data trends and best practices to continuously innovate. What You’ll Need Experience : 3+ years as a Data Engineer or similar. Technical Skills : Expertise in Databricks, Apache Spark, and Azure (Data Lake Storage, Databricks, Azure Data Factory). Programming : Proficient in SQL, Python, or Scala. AI/ML Skills : Familiarity with machine learning tools and techniques. Soft Skills : Strong problem-solving, collaboration, and communication skills. Passion for Data : Enthusiasm for learning and innovation in the data space. Security Clearance Requirement This position requires Security Check (SC) clearance, including a minimum of 5 years of continuous UK residency. For more information, please email or call 07441920863 TPBN1_UKTJ
Azure Data Engineer employer: 83zero Limited
Contact Detail:
83zero Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Make sure to showcase your experience with Databricks and Apache Spark in your conversations. Highlight specific projects where you've successfully built data pipelines or implemented data solutions, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in big data and AI/ML. Being able to discuss recent advancements or best practices during interviews can demonstrate your passion for data and your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss how you collaborate with cross-functional teams. Share examples of how you've worked with business analysts, data scientists, or DevOps engineers to create seamless data solutions, as teamwork is crucial for this role.
✨Tip Number 4
Since this position requires Security Check (SC) clearance, be ready to explain your residency history in the UK. Having a clear understanding of this requirement will show that you're prepared and serious about the application process.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Apache Spark, and Azure technologies. Include specific projects where you've built data pipelines or integrated AI/ML models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and innovation. Mention how your skills align with the job requirements and provide examples of your problem-solving abilities in previous roles.
Showcase Technical Skills: Clearly list your technical skills, especially your proficiency in SQL, Python, or Scala. If you have experience with machine learning tools, make sure to include that as well.
Highlight Collaboration Experience: Since the role involves working with various teams, emphasize any past experiences where you collaborated with business analysts, data scientists, or DevOps engineers to deliver data solutions.
How to prepare for a job interview at 83zero Limited
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, Apache Spark, and Azure services in detail. Highlight specific projects where you've built data pipelines or implemented data solutions, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Your 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 in optimizing performance or ensuring data quality. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Emphasize Collaboration Experience
Since this role involves working closely with business analysts, data scientists, and DevOps engineers, be ready to discuss your collaborative experiences. Share examples of successful teamwork and how you contributed to achieving common goals in data projects.
✨Stay Updated on Industry Trends
Show your passion for data by discussing recent trends or innovations in big data and AI/ML. This demonstrates your commitment to continuous learning and innovation, which is crucial for staying competitive in the field.
