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- Tasks: Join us as a Databricks Data Engineer, working on data engineering tasks with cutting-edge technologies.
- Company: We are a forward-thinking company based in London, embracing hybrid work culture.
- Benefits: Enjoy a competitive day rate and the flexibility of remote work options.
- Why this job: This role offers hands-on experience with Databricks and a chance to impact data governance.
- Qualifications: Experience in Databricks, Spark programming, and familiarity with Azure Data Lake is essential.
- Other info: Immediate start available; contact Aaron for more details.
Day Rate: £400 - £500 P/ day
Location: Hybrid (Remote / London)
Start: Immediate
Key expertise and experience we're looking for:
- Data Engineering in Databricks - Spark programming with Scala, Python, SQL
- Ideally experience with Delta Lake
- Databricks workflows, jobs, etc.
- Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks
- Data Governance experience - Metadata, Data Quality, Lineage, Data Access Models
- Good understanding of Data Modelling concepts, Data Products and Data Domains
- Unity Catalog experience is a key differentiator - if not then experience with a similar Catalog/Data Governance Management component
- MS Purview (Metadata and Data Quality tool) experience is a bonus - experience in similar tools is valuable (Collibra, Informatica Data Quality/MDM/Axon etc.)
- Ideally Capital Markets, or at least Banking experience
- Data Architecture experience is a bonus
For more information please contact Aaron on 07441 920 857.
Databricks Data Engineer - Contract employer: 714188
Contact Detail:
714188 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Engineer - Contract
✨Tip Number 1
Make sure to showcase your hands-on experience with Databricks and Spark during any networking opportunities. Engage in discussions about your projects and how you've used these technologies to solve real-world problems.
✨Tip Number 2
Join relevant online communities or forums focused on Databricks and data engineering. This can help you connect with industry professionals, gain insights, and even discover job leads that may not be advertised widely.
✨Tip Number 3
If you have experience with Delta Lake or similar data governance tools, prepare to discuss specific examples of how you've implemented these in past roles. This will demonstrate your expertise and make you stand out to potential employers.
✨Tip Number 4
Consider reaching out to recruiters who specialise in data engineering roles. They often have access to exclusive job openings and can provide valuable advice on how to tailor your approach for the Databricks Data Engineer position.
We think you need these skills to ace Databricks Data Engineer - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Spark programming, and any relevant data engineering projects. Use specific examples that demonstrate your skills in Scala, Python, and SQL.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with Azure Data Lake and any experience you have with Delta Lake or data governance tools like MS Purview.
Showcase Relevant Experience: When detailing your work history, focus on roles that involved data ingestion, ETL/ELT frameworks, and data modelling concepts. If you have experience in Capital Markets or Banking, be sure to highlight this as it is particularly relevant.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at 714188
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, Spark programming, and the languages mentioned in the job description. Bring examples of past projects where you used Scala, Python, or SQL to demonstrate your proficiency.
✨Understand Data Governance
Familiarise yourself with data governance concepts, especially around metadata, data quality, and lineage. Be ready to explain how you've implemented these in previous roles, as this is a key area for the position.
✨Highlight Relevant Experience
If you have experience in Capital Markets or Banking, make sure to highlight it during the interview. Discuss specific projects or challenges you've faced in these sectors to show your understanding of the industry.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture and their use of tools like Unity Catalog or MS Purview. This shows your interest in the role and helps you assess if the company is the right fit for you.
