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For Companies At a Glance
- Tasks: Design, create, and manage data solutions while mentoring a dynamic team.
- Company: Join Blacklist Ratings, an expanding SaaS company focused on data innovation.
- Benefits: Enjoy remote work flexibility with one office day monthly and competitive salary plus perks.
- Why this job: Be part of a growing team that values your technical and people skills in a collaborative environment.
- Qualifications: Strong Databricks experience and a background in data engineering are essential.
- Other info: This role offers both senior and mid-level opportunities, catering to various experience levels.
The predicted salary is between 42500 - 91000 £ per year.
Overview
Senior Data Engineer, Databricks, Home Based role at Blacklist Ratings. Salary £ 60000 – 65000 + benefits. Strong Performant SQL and Databricks required. Home Based with one day a month at the office in Nottingham.
Note: Strong commercial knowledge of Databricks and Performant SQL is required for this role. Knowledge of testing, the finance sector or energy sector is a distinct advantage.
Expanding SaaS product company are looking for a number of Senior Data Engineers as they continue to grow. In these hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code.
Responsibilities
- Work with the Data Architects and Data team to determine technical delivery and functionality.
- Design data solutions based on optimal performance, scalability and reliability.
- Create, optimise and maintain logical and physical data models, including data warehouses and data lakes.
- Design and manage the data integration process.
- Work with the team to improve their skills and knowledge (mentoring, training coaching, etc).
- Contribute as a member of the agile team.
- Work closely with Data Scientists, Data Engineers and BAs to understand the data needs of the business.
Skills and Qualifications
- Previous experience as Data Engineer in a delivery focused environment.
- Excellent knowledge of Databricks and Performant SQL.
- Experience analysing complex business problems and designing workable technical solutions.
- Excellent knowledge of the SDLC, including testing and delivery in an agile environment.
- Excellent knowledge of ETL.
- Experience of data warehousing and data lake solutions.
- Experience working in an Agile environment.
Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: Data Infrastructure and Analytics
Salary and location details are based on the candidate’s fit for Senior or Mid Level roles. If you have the required skills and experience please send your CV for a full brief. LNKD1_UKTJ
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Senior Data Engineer, Databicks, Home Based employer: Blacklist Ratings
Contact Detail:
Blacklist Ratings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Databicks, Home Based
✨Tip Number 1
Make sure to showcase your hands-on experience with Databricks during any discussions. Highlight specific projects where you've optimised performance or designed data solutions, as this will demonstrate your practical knowledge and ability to contribute immediately.
✨Tip Number 2
Familiarise yourself with the finance and energy sectors, as having industry-specific knowledge can set you apart from other candidates. Consider discussing recent trends or challenges in these sectors that relate to data engineering.
✨Tip Number 3
Prepare to discuss your experience in agile environments. Be ready to share examples of how you've collaborated with cross-functional teams, particularly with Data Scientists and Business Analysts, to meet business needs effectively.
✨Tip Number 4
Emphasise your mentoring and coaching skills. Since the role involves guiding other team members, be prepared to talk about how you've helped others develop their skills in previous positions, showcasing your leadership potential.
We think you need these skills to ace Senior Data Engineer, Databicks, Home Based
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and SQL Performance Tuning. Include specific projects or achievements that demonstrate your skills in data engineering, especially in a delivery-focused environment.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of the finance or energy sector if applicable, and how your background aligns with the responsibilities outlined in the job description.
Showcase Relevant Skills: Clearly list your technical skills related to data warehousing, data lakes, and ETL processes. Provide examples of how you've used these skills in previous roles, particularly in an Agile environment.
Highlight Mentoring Experience: If you have experience mentoring or training others, be sure to include this in your application. This is a key responsibility of the role, and demonstrating your ability to guide and influence others will strengthen your application.
How to prepare for a job interview at Blacklist Ratings
✨Showcase Your Databricks Expertise
Make sure to highlight your strong commercial knowledge of Databricks during the interview. Be prepared to discuss specific projects where you've used Databricks effectively, focusing on performance tuning and data integration processes.
✨Demonstrate Problem-Solving Skills
Expect to be asked about complex business problems you've encountered in previous roles. Prepare examples that showcase your analytical skills and how you designed workable technical solutions, particularly in a delivery-focused environment.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in an agile environment, brush up on your understanding of the Software Development Life Cycle (SDLC) and agile practices. Be ready to discuss how you've contributed to agile teams in the past.
✨Prepare for Technical Questions
Anticipate technical questions related to SQL performance tuning, ETL processes, and data warehousing. Practise explaining your thought process and the rationale behind your decisions in these areas, as this will demonstrate your depth of knowledge.
