At a Glance
- Tasks: Design and build scalable data pipelines and modern data platforms.
- Company: Join a data-driven tech organisation with a collaborative culture.
- Benefits: Enjoy technical autonomy, competitive salary, and opportunities for growth.
- Other info: Inclusive recruitment process with support for all backgrounds.
- Why this job: Make a real impact on high-value datasets and shape data management strategies.
- Qualifications: Strong Python skills and experience with cloud-based data platforms required.
The predicted salary is between 63000 - 77000 £ per year.
Role Overview
We're partnering with a data-driven technology organisation looking for a Senior Data Engineer to help shape the way complex, high-value datasets are collected, transformed, managed and delivered across a global business.
This is a hands-on engineering role focused on building modern data platforms, developing scalable data pipelines and creating trusted data products that support both internal teams and external customers.
You'll work with large and complex datasets, helping to establish the architecture, tooling and engineering standards that underpin a growing cloud-based data ecosystem.
You'll join a collaborative engineering environment where teams take ownership of solutions from design through to production.
The role offers significant influence over platform strategy, technical direction and engineering best practice, providing the opportunity to shape how data is managed, discovered and consumed across the organisation.
For engineers who enjoy solving large-scale data challenges, improving data accessibility and building reliable systems that directly impact products and customers, this represents an excellent opportunity to make a meaningful contribution.
- What You'll Be Doing
- Designing, building and maintaining scalable ETL/ELT pipelines and data processing workflows
- Developing and optimising data products that transform complex datasets into trusted, consumable assets
- Building Python-based services and tooling that support data ingestion, transformation and delivery
- Contributing to the evolution of a modern cloud-native data platform
- Defining and promoting standards around data quality, governance, metadata and observability
- Working closely with software engineering, platform and product teams to improve data accessibility and reliability
- Supporting production data systems, monitoring and operational excellence
- Contributing to architectural decisions and helping drive engineering best practice across the organisation
- Mentoring colleagues and fostering a strong engineering culture
Skills Required
We're particularly interested in experienced Data Engineers who combine strong Python development skills with expertise in building modern cloud-based data platforms.
Essential Experience
- Strong commercial experience as a Data Engineer, Data Platform Engineer or Python Engineer working with large-scale datasets
- Advanced Python development experience
- Designing and developing ETL/ELT pipelines and modern data platforms
- Experience with AWS-based data platforms
- AWS services including Glue, Step Functions, Athena, S3 and serverless architectures
- Data modelling, transformation and orchestration tooling such as dbt
- Working with modern analytical storage formats including Parquet and Iceberg
- Building robust data ingestion and transformation workflows
- Data quality frameworks, schema evolution and metadata management
- Experience with distributed data processing and large-scale datasets
- Understanding of REST APIs and data integration patterns
- Strong software engineering principles, including testing, maintainability and security
- Monitoring, observability and operational support for production data platforms
Desirable Experience
- Event-driven architectures, messaging and streaming technologies
- Open Search, graph databases or knowledge graph technologies
- Data discovery, catalogue or lineage platforms
- Experience building backend services using Python
- Experience working within agile, cross-functional engineering teams
Why Apply?
- Opportunity to influence the evolution of a strategic data platform
- Work with complex, high-value datasets at scale
- Significant ownership and technical autonomy
- Collaborative engineering culture with strong technical standards
- Exposure to modern cloud, data engineering and platform technologies
- Opportunity to shape engineering best practices and platform direction
- A Little Note From Us
Boost Talent is committed to creating an inclusive recruitment experience and supporting equal opportunities throughout the recruitment process.
We welcome applications from people of all backgrounds and will gladly discuss any reasonable adjustments you may need to help you feel supported throughout the process.
While we'd genuinely love to reply to everyone individually, we often receive a high number of applications for the roles we advertise.
If your experience aligns with the opportunity, a member of our team will be in touch to discuss the role.
Best of luck!
Senior Data Engineer (Python) in Bolton employer: Boost Talent ltd
As a Senior Webflow Designer at our award-winning digital studio in Leeds, you'll thrive in a collaborative and innovative environment that champions creativity and design excellence. We offer a flexible hybrid working model, competitive salary, and ample opportunities for professional growth, ensuring you can develop your skills while contributing to high-impact projects for renowned global brands. Join us to be part of a team that values your input and fosters a culture of continuous learning and development.
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We think this is how you could land Senior Data Engineer (Python) in Bolton
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We think you need these skills to ace Senior Data Engineer (Python) in Bolton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
