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- Tasks: Lead the evolution of our data infrastructure and manage ingestion pipelines.
- Company: Join a dynamic FinTech company revolutionizing data solutions.
- Benefits: Enjoy a permanent role with opportunities for growth and impact.
- Why this job: Make a real difference in a small team while shaping data strategies.
- Qualifications: Experience with Azure, Databricks, and data engineering principles required.
- Other info: Must have unrestricted right to work in the UK.
The predicted salary is between 48000 - 84000 £ per year.
Fraser Carver Executive Search are working with a growing FinTech company who are looking to hire a Senior Data Engineer into the Data Team. This is a permanent role and we are not in a position to offer sponsorship at this time so please only apply if you have unrestrictred right to work in the UK. Role overview: We are looking for a Senior Data Engineer reporting into the Data Director to bring our data infrastructure to the next level in terms of reliability and stability, with a view on establishing a larger data mesh set-up managed from a hub of excellence. In the past 3 years we have set up the companies data infrastructure from scratch. We have built a lakehouse with automated reporting and self-serve on top of that. With expanding scope and responsibilities, we need to mature our solution to retain its quality and design how we scale efficiently. The focus of this role will be on DataOps/DevOps, ingestion and data processing within Databricks. The responsibility will be end-to-end due to our small team size, with a real ability to make a difference. Main responsibilities: Mature the data infrastructure to ensure reliability and stability Manage ingestion pipelines (currently ADF and python) Ensure the quality of raw datasets for the Data Analysts to create a data model on Manage and deploy data related tools on Kubernetes (Airflow, Superset, RStudio Connect) Supp…
Senior Data Engineer (Azure/ Databricks) employer: Fraser Carver Executive Search Ltd
Contact Detail:
Fraser Carver Executive Search Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Azure/ Databricks)
✨Tip Number 1
Familiarize yourself with Azure and Databricks, as these are key technologies for the role. Consider working on personal projects or contributing to open-source projects that utilize these platforms to showcase your hands-on experience.
✨Tip Number 2
Highlight your experience with DataOps and DevOps practices. Be prepared to discuss specific examples of how you've implemented these methodologies in previous roles, as this will demonstrate your ability to contribute effectively to the team.
✨Tip Number 3
Network with professionals in the FinTech space, especially those who work with data engineering. Attend industry meetups or webinars to connect with potential colleagues and gain insights into the company's culture and expectations.
✨Tip Number 4
Prepare to discuss your approach to managing ingestion pipelines and ensuring data quality. Think about challenges you've faced in the past and how you overcame them, as this will show your problem-solving skills and readiness for the role.
We think you need these skills to ace Senior Data Engineer (Azure/ Databricks)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in DataOps, DevOps, and working with Azure and Databricks. Use specific examples that demonstrate your ability to manage ingestion pipelines and ensure data quality.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly in maturing data infrastructure and managing data tools on Kubernetes.
Showcase Your Technical Skills: Clearly outline your technical skills related to data engineering, including any experience with ADF, Python, Airflow, and other relevant tools. Mention any projects where you successfully implemented these technologies.
Highlight Your Impact: Use quantifiable achievements to illustrate your impact in previous roles. For example, mention how you improved data reliability or efficiency in past projects, which will resonate with the company's goals.
How to prepare for a job interview at Fraser Carver Executive Search Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure, Databricks, and DataOps/DevOps practices. Highlight specific projects where you've managed ingestion pipelines or worked with tools like ADF and Python.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to troubleshoot and optimize data infrastructure. Share examples of challenges you've faced in previous roles and how you overcame them.
✨Understand the Company’s Data Vision
Research the FinTech company and its data strategy. Be ready to discuss how you can contribute to maturing their data infrastructure and establishing a data mesh setup.
✨Emphasize Team Collaboration
Since the role involves working closely with a small team, highlight your teamwork skills. Discuss how you've collaborated with data analysts and other stakeholders to ensure data quality and reliability.
