At a Glance
- Tasks: Design and optimise scalable data pipelines while mentoring junior engineers.
- Company: Join Real Chemistry, a leader in innovative data solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with a focus on diversity and inclusion.
- Why this job: Make a real impact on data systems and drive innovation in a dynamic environment.
- Qualifications: 5-7 years in data engineering with strong SQL and Python skills.
The predicted salary is between 90000 - 100000 £ per year.
We are looking for a Senior Data Engineer to help drive the design, build, and scale of our data infrastructure. This role will be responsible for architecting and maintaining multi‑cloud data platforms, optimizing ETL pipelines, and ensuring data quality and availability across the organization. As a senior member of the Data Engineering team, you will deliver hands‑on technical solutions, mentor junior engineers, guide best practices, and help shape the direction of our data engineering capabilities.
Responsibilities
- Architect and optimize robust, scalable ETL pipelines and workflows to ingest, transform, and deliver data from multiple sources.
- Ensure data integrity and governance through validation frameworks, schema design, and proactive monitoring.
- Leverage advanced SQL and programming skills to extract, transform, and analyze data efficiently.
- Develop automation using Python, Pandas, AWS Lambda, and related tools to improve operational efficiency.
- Design and manage data platforms, including Snowflake, Athena, Redshift, BigQuery, and other cloud‑based solutions.
- Collaborate cross‑functionally with analysts, strategists, and business leaders to translate business requirements into technical solutions.
- Mentor and coach junior data engineers, setting standards for code quality, documentation, and best practices.
- Lead vendor and partner integrations, ensuring seamless data delivery and alignment with internal standards.
- Communicate effectively with both technical and non‑technical stakeholders, providing clear insight and direction.
- Drive innovation, identifying opportunities to improve performance, scalability, and usability of our data systems.
Qualifications
- Bachelor’s degree in Computer Science, Data Engineering, or related field—or equivalent experience.
- 5–7+ years of experience in data engineering, with proven success building and scaling data systems.
- Expert knowledge of SQL and Python, including performance optimization and data manipulation libraries (e.g., Pandas).
- Strong experience with AWS data products (S3, Redshift, Athena, Lambda) and familiarity with multi‑cloud environments.
- Deep understanding of data modeling, schema design, and best practices for large‑scale data solutions.
- Demonstrated ability to design secure, reliable pipelines and troubleshoot complex issues.
- Experience leading projects and mentoring other engineers.
- Excellent communication, critical thinking, and problem‑solving skills.
- Comfortable managing multiple priorities and delivering in a fast‑paced environment.
Great‑to‑Haves
- Experience with data transformation and productivity tools (dbt, Jinja, etc.).
- Familiarity with Snowflake (Notebooks, Worksheets, VS Code plugin).
- Knowledge of data visualization platforms such as Looker Studio or similar BI tools.
- Exposure to digital marketing analytics and measurement frameworks.
Senior Data Engineer employer: twentysix
At Real Chemistry, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Data Engineer, you will not only have the opportunity to work with cutting-edge technologies in a multi-cloud environment but also play a pivotal role in mentoring junior engineers and shaping our data engineering capabilities. We are committed to your professional growth, offering ample opportunities for skill development and career advancement while ensuring a diverse and inclusive workplace where every voice is valued.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in a data engineering role. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio of projects that highlight your SQL and Python skills. Whether it’s a GitHub repo or a personal website, let your work speak for itself.
✨Ace the Interview
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think, not just what you know!
✨Apply Through Us
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us—it shows you’re genuinely interested and makes it easier for us to find your application!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in SQL, Python, and any cloud platforms you've worked with. We want to see how you can contribute to our data infrastructure!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Share specific examples of projects you've led or challenges you've overcome. This is your chance to shine!
Showcase Your Technical Skills:In your application, don't shy away from detailing your technical skills. Mention your experience with ETL pipelines, data platforms like Snowflake or Redshift, and any automation tools you've used. We love seeing hands-on experience!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at twentysix
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've optimised ETL pipelines or worked with AWS data products. Having concrete examples will show that you can deliver hands-on technical solutions.
✨Showcase Your Mentoring Skills
As a Senior Data Engineer, you'll be expected to mentor junior engineers. Prepare to share experiences where you've guided others, set standards for code quality, or helped shape best practices. This will demonstrate your leadership capabilities and commitment to team growth.
✨Communicate Clearly
You'll need to communicate effectively with both technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms. This will help you stand out as someone who can bridge the gap between tech and business needs.
✨Be Ready to Innovate
Think about ways you've driven innovation in your previous roles. Whether it's improving performance, scalability, or usability of data systems, be prepared to discuss how you identified opportunities for improvement and implemented solutions.
