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- Tasks: Design and maintain scalable data solutions while mentoring a team of engineers.
- Company: Join a dynamic team in Bristol focused on innovative data engineering.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a culture that values automation and continuous improvement in data practices.
- Qualifications: Expertise in SQL, Python, Spark, and experience with cloud services like AWS required.
- Other info: This is a permanent full-time role with a focus on collaboration and innovation.
The predicted salary is between 48000 - 84000 £ 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.
Senior Data Engineer employer: Peaple Talent
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 tools and technologies mentioned in the job description, such as SQL, Python, Spark, and AWS services. Having hands-on experience or projects that showcase your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Highlight your experience in mentoring and coaching team members. Prepare examples of how you've supported your peers in their growth and development, as this is a key responsibility for the role.
✨Tip Number 3
Demonstrate your understanding of Agile practices by discussing your previous experiences in sprint planning and peer reviews. Being able to articulate how you've contributed to Agile teams will show your alignment with the company's working style.
✨Tip Number 4
Prepare to discuss your approach to data quality assurance and integrity checks. Be ready to share specific strategies or systems you've implemented in past roles to ensure high standards in data management.
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: Write a cover letter that showcases your understanding of the role and how your skills align with the company's needs. Mention your experience in mentoring and Agile practices, as these are key aspects of the job.
Showcase Relevant Projects: Include details about specific projects where you've built or optimised data solutions. Highlight your familiarity with cloud services like AWS and orchestration tools like Apache Airflow to demonstrate your technical capabilities.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a Senior Data Engineer role.
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've helped others grow their skills or improved team practices, as this will highlight your leadership capabilities.
✨Familiarise Yourself with Agile Practices
Understand Agile methodologies and be ready to discuss your experience with sprint planning and peer reviews. Showing that you can actively participate in Agile practices will demonstrate your ability to fit into their workflow.
✨Communicate Complex Ideas Simply
Prepare to explain complex engineering concepts in layman's terms. This skill is crucial for collaborating with non-technical colleagues, so practice articulating your thoughts clearly and concisely.
