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- Tasks: Lead the design and development of robust data pipelines using Databricks.
- Company: Join a forward-thinking company focused on collaboration and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into valuable insights.
- Qualifications: Experience with Databricks, Python, SQL, and modern DataOps practices required.
- Other info: Dynamic team environment with a focus on quality and security in data management.
The predicted salary is between 36000 - 60000 £ per year.
As a Senior Data Engineer, you will lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborating closely with business and analytics teams, you will ensure high-quality deliverables that meet the strategic needs of our organization. Your expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data, therefore driving our mission of Collaboration, Innovation, & Transformation.
Key Responsibilities:
- Develop and maintain data pipelines.
- Integrate data from various sources (APIs, relational databases, files, etc.).
- Collaborate with business and analytics teams to understand data requirements.
- Ensure quality, reliability, security and governance of the ingested data.
- Follow modern DataOps practices such as Code Versioning, Data Tests and CI/CD.
- Document processes and best practices in data engineering.
Required Skills and Qualifications:
Must-have Skills:
- Proven experience in building and managing large-scale data pipelines in Databricks (PySpark, Delta Lake, SQL).
- Strong programming skills in Python and SQL for data processing and transformation.
- Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing.
- Hands-on experience with modern DataOps practices: version control (Git), CI/CD pipelines, automated testing, infrastructure-as-code.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and related data services.
- Strong problem-solving skills with the ability to troubleshoot performance, scalability, and reliability issues.
- Proficiency in Git.
Databricks Specialist in England employer: Ciandt
Contact Detail:
Ciandt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Specialist in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. Use platforms like GitHub to share your code and demonstrate your expertise in Python, SQL, and Databricks. This will make you stand out when we’re looking for someone with your skills.
✨Tip Number 3
Prepare for interviews by brushing up on DataOps practices. Be ready to discuss how you've implemented CI/CD pipelines or automated testing in your previous roles. We love candidates who can talk the talk and walk the walk!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team and contributing to our mission of Collaboration, Innovation, & Transformation.
We think you need these skills to ace Databricks Specialist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and data pipelines. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects!
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 contribute to our mission of Collaboration, Innovation, & Transformation. Keep it engaging and personal.
Showcase Your Technical Skills: Don’t forget to mention your programming skills in Python and SQL, as well as your experience with DataOps practices. We love seeing candidates who are hands-on and familiar with modern tools and frameworks!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Ciandt
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks skills, especially with PySpark and Delta Lake. Be ready to discuss specific projects where you've built and managed data pipelines, as this will show your hands-on experience.
✨Showcase Your DataOps Knowledge
Familiarise yourself with modern DataOps practices like version control and CI/CD. Prepare examples of how you've implemented these in past roles, as it demonstrates your commitment to quality and efficiency in data engineering.
✨Collaborate Like a Pro
Since collaboration is key, think of instances where you've worked closely with business and analytics teams. Be ready to explain how you gathered their data requirements and ensured the deliverables met their needs.
✨Problem-Solving Scenarios
Prepare to discuss specific challenges you've faced regarding performance, scalability, or reliability issues in data processing. Highlight your problem-solving skills and how you approached these situations to find effective solutions.
