At a Glance
- Tasks: Lead data pipeline development and drive data modelling initiatives with autonomy.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on Agile methodologies.
- Why this job: Make a real impact by orchestrating the entire data engineering journey.
- Qualifications: Proficiency in Python, Azure Data Factory, and Databricks required.
The predicted salary is between 60000 - 80000 € per year.
We are looking for a Senior Data Engineer with the ability to propose improvements with a degree of autonomy, as well as the skills to lead data pipeline development and drive data modelling initiatives in close partnership with business areas. The successful candidate will be responsible for orchestrating the entire data engineering journey — from the ingestion of data generated by Python-based Azure Functions through to the delivery of solutions built on Azure Data Factory and Databricks.
Key Responsibilities
- Develop and manage data pipelines that consume CSV files generated by Azure Functions, ensuring reliability and maintainability across the data flow.
- Structure data modelling aligned with business needs, guaranteeing quality and performance throughout the data processing lifecycle.
- Orchestrate processes within Azure Data Factory, ensuring scalability and operational efficiency across all data workflows.
- Develop and optimise data workflows in Databricks to support advanced analytics and data transformation requirements.
- Collaborate directly with business teams to translate functional requirements into robust technical solutions.
- Ensure solid data governance practices, including data quality, versioning, and end-to-end data lineage and traceability.
- Document solutions and produce clear manuals and guidelines for both technical and non-technical stakeholders.
Mandatory Technical Requirements
- Proficiency in Python, with the ability to read and interpret scripts running on Azure Functions.
- Strong knowledge of Azure Data Factory, with hands-on experience in pipeline orchestration and automation.
- Proven experience with Databricks, including familiarity with the Medallion Architecture (Bronze, Silver and Gold layers) for distributed data processing.
- Solid understanding of SQL and data modelling techniques, covering both relational and non-relational approaches.
- Experience with data ingestion, transformation and storage using Azure Blob Storage and/or Azure Data Lake.
- Understanding of data governance and security best practices within Azure cloud environments.
- Familiarity with code versioning using Git and deployment automation practices.
- Familiarity with DataOps practices applied to data engineering workflows.
- Experience working within Agile methodologies (Scrum and/or Kanban).
Behavioural Competencies
- Excellent communication skills, with the ability to engage effectively with business teams and translate their needs into technical solutions.
- Capacity to work independently, with autonomy to prioritise tasks and make sound technical decisions.
- Collaborative mindset, with the ability to lead both technical and business-facing discussions alongside the direct manager.
[VFS] SENIOR DATA ENGINEER employer: iblue
Join a forward-thinking company that values innovation and autonomy, where as a Senior Data Engineer, you will play a pivotal role in shaping data solutions that drive business success. Our collaborative work culture fosters continuous learning and growth, offering ample opportunities for professional development while working with cutting-edge technologies in a dynamic environment. Located in a vibrant area, we provide a supportive atmosphere that encourages creativity and teamwork, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land [VFS] SENIOR DATA ENGINEER
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Azure Data Factory, Databricks, and Python, as well as how you’ve collaborated with business teams in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace [VFS] SENIOR DATA ENGINEER
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Senior Data Engineer role. Highlight your experience with Python, Azure Data Factory, and Databricks. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of data pipelines you've developed or optimised. We love seeing real-world applications of your skills, especially if they relate to data governance and operational efficiency.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering. Share your thoughts on how you can contribute to our team and improve our data processes. Make it personal!
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 iblue
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially how it interacts with Azure Functions. Be ready to discuss your experience with Azure Data Factory and Databricks, as well as the Medallion Architecture. The more you can demonstrate your technical prowess, the better!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've proposed improvements in past roles. Think about specific challenges you faced in data pipeline development and how you overcame them. This will show that you can think critically and work autonomously, which is key for this role.
✨Communicate Like a Pro
Since you'll be collaborating with business teams, practice explaining complex technical concepts in simple terms. Prepare to discuss how you've translated functional requirements into technical solutions before. Good communication can set you apart from other candidates.
✨Understand Data Governance
Brush up on data governance practices, especially within Azure environments. Be ready to discuss how you've ensured data quality, versioning, and traceability in your previous projects. This knowledge is crucial for maintaining solid data governance in the role.
