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- Tasks: Design and maintain scalable data solutions while mentoring a team of engineers.
- Company: Join a dynamic tech company in Bristol focused on innovative data solutions.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a cutting-edge analytics platform and drive future-focused innovation.
- Qualifications: Expertise in SQL, Python, Spark, and experience with cloud-based data services required.
- Other info: This is a permanent full-time role with a collaborative team culture.
The predicted salary is between 43200 - 72000 £ per year.
Peaple Talent are pleased to be working with a returning client in Bristol looking to recruit for a Senior Data Engineer. This is a full-time permanent role, and would require hybrid working in Bristol.
This Senior Data Engineer role will involve working closely with the team lead, helping to guide a team of engineers in building, optimizing and maintaining robust data pipelines and a cutting-edge analytics platform.
Key Responsibilities:- Design, develop, and maintain scalable data solutions that meet both technical guidelines and strategic business goals.
- Take an active role in Agile practices, including sprint planning, peer reviews, and change control meetings.
- Partner with the team lead to coach and support team members, offering hands-on mentorship throughout the engineering lifecycle.
- Research and test emerging tools and technologies to drive future-focused innovation.
- Promote a culture centred around automation and continuous process enhancement.
- Assist in shaping and upholding high development standards, collaborating on best practices and code quality with the team lead.
- Resolve advanced data-related challenges and fine-tune existing infrastructure for greater speed and dependability.
- Translate complex engineering concepts into clear, accessible language for non-technical colleagues.
- Establish and manage systems for data quality assurance, integrity checks, and monitoring in line with governance frameworks.
- Work closely with various departments to gather requirements and ensure data solutions reflect real business needs.
- Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets.
- Experience mentoring peers and supporting team growth by sharing knowledge and improving collective engineering practices.
- In-depth knowledge of data modelling best practices and common patterns used in pipeline architecture.
- Confident in version control with Git and familiar with setting up CI/CD workflows using platforms like Azure DevOps or similar tools.
- Hands-on experience with orchestration tools like Apache Airflow for managing complex data workflows.
- Practical familiarity with low-code or no-code platforms such as Talend and SnapLogic for streamlined pipeline development.
- Strong experience working with cloud-based data services, especially within AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager.
- Skilled in building modern data warehouses on platforms like Amazon Redshift, Snowflake, or Databricks.
If you are interested in this position please apply directly on Linkedin with an updated copy of your CV.
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, Python, and Spark. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Showcase your mentoring experience by preparing examples of how you've supported team growth in previous roles. This will highlight your ability to coach and guide others, which is a key responsibility in this position.
✨Tip Number 3
Research the company’s current data solutions and be ready to discuss how you can contribute to their optimisation and innovation. This shows initiative and a genuine interest in the company's goals.
✨Tip Number 4
Prepare to discuss your experience with cloud-based services, particularly AWS. Be ready to explain how you've used tools like Lambda or Redshift in past projects, as this aligns closely with the job requirements.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Spark, as well as any relevant projects involving data pipelines. Use specific examples that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with Agile practices and how you have successfully mentored team members in previous roles.
Showcase Relevant Projects: Include details of specific projects where you've built or optimised data solutions. Highlight your familiarity with cloud-based services like AWS and orchestration tools such as Apache Airflow.
Use Clear Language: When describing your technical skills and experiences, ensure you translate complex concepts into clear language. This will help non-technical colleagues understand your contributions and capabilities.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in SQL, Python, and Spark. Bring examples of past projects where you've built end-to-end data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership and Mentorship
Since this role involves guiding a team, share your experiences in mentoring peers. Discuss specific instances where you supported team growth and improved engineering practices, highlighting your coaching style.
✨Familiarise Yourself with Agile Practices
Understand Agile methodologies and be ready to talk about your experience with sprint planning and peer reviews. Mention how you’ve contributed to change control meetings and how you can promote Agile culture within the team.
✨Prepare for Problem-Solving Questions
Expect to tackle advanced data-related challenges during the interview. Brush up on your problem-solving skills and think of examples where you resolved complex issues or optimised existing infrastructure for better performance.
