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- Tasks: Design and maintain scalable data solutions while mentoring a team of engineers.
- Company: Join a dynamic company 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, innovation, and teamwork.
- 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 career development.
The predicted salary is between 48000 - 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 tools and technologies mentioned in the job description, such as SQL, Python, Spark, and AWS services. Being able to discuss your hands-on experience with these technologies 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
Brush up on Agile practices and be ready to discuss your involvement in sprint planning and peer reviews. Understanding these methodologies will help you align with the team's workflow and demonstrate your commitment to collaborative development.
✨Tip Number 4
Prepare to articulate how you've tackled complex data-related challenges in the past. Sharing specific examples of problem-solving will show your capability to resolve issues and enhance existing infrastructure, which is crucial for this role.
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 how your skills align with the responsibilities outlined in the job description, particularly your experience in mentoring and Agile practices.
Showcase Relevant Projects: If you have worked on projects involving cloud-based data services or orchestration tools like Apache Airflow, be sure to include these in your application. Highlight your contributions and the impact of your work.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. 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 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 promote a culture of continuous improvement.
✨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.
