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- Tasks: Design and maintain scalable data pipelines using Azure Data Factory and Snowflake.
- Company: Join Scania, a fun and innovative company focused on digitalisation.
- Benefits: Enjoy hybrid working, competitive salary, annual bonus, and 25 days leave.
- Why this job: Make a real impact by improving data solutions in a collaborative environment.
- Qualifications: Experience in data engineering and strong analytical skills required.
- Other info: Great career development opportunities and supportive team culture.
The predicted salary is between 60000 - 60000 ÂŁ per year.
Location: Milton Keynes
Working Hours: Monday to Friday (8.45am â 5pm)
Salary: From ÂŁ60,000 plus excellent benefits package, including:
- Hybrid working
- Eligibility to annual bonus scheme
- Access to a fantastic loan car scheme
- 25 days annual leave plus bank holidays
- Competitive pension
- 4x basic salary life assurance
The Data Engineer designs, builds, and maintains scalable data pipelines and platforms that power the organisationâs data and analytics capabilities. This role ensures data is reliable, secure, and structured for reporting and operational use, while working closely with data teams, IT, and business stakeholders to deliver robust data solutions. Youâll own and continuously improve data integration, storage, and management across the business, collaborating with global teams to ensure consistency in strategy and delivery.
Key Responsibilities:
- Data Platform Engineering
- Design, develop and maintain data pipelines using Azure Data Factory and Snowflake (ELT approach)
- Implement and manage data structures within Snowflake, ensuring performance, scalability and consistency
- Maintain and optimise data layers (e.g. raw, curated, presentation) aligned to data architecture standards
- Monitor and manage platform performance and cost efficiency
- Data Integration
- Develop and maintain integrations across multiple source systems using APIs, file-based and batch processes
- Build reusable frameworks and templates for data ingestion and transformation
- Ensure reliability, resilience and recoverability of all integration processes
- Support onboarding of new data sources into the platform
- Data Quality & Monitoring
- Implement data quality checks, validation rules and monitoring processes
- Develop alerting and logging mechanisms for pipeline failures and data issues
- Identify, troubleshoot and resolve data inconsistencies and failures
- Work with upstream system owners to improve data quality at source where possible
- Data Governance & Security
- Apply role-based access control (RBAC) and data security best practices within Snowflake
- Ensure compliance with organisational security and data governance policies
- Maintain documentation for data pipelines, data models and integrations
- Support audit and compliance activities where required
- Platform Administration
- Support administration of the data platform including user access, roles and permissions
- Ensure business continuity, backup and recovery processes are in place and maintained
- Maintain operational stability of data pipelines and infrastructure
- Continuous Improvement
- Contribute to the evolution of data engineering standards, frameworks and best practices
- Identify opportunities to improve performance, scalability and maintainability of the platform
- Stay informed of emerging tools, technologies and practices relevant to data engineering
- Stakeholder Collaboration
- Work with business stakeholders, analysts and technical teams to understand data requirements
- Support delivery of data solutions aligned to business needs and priorities
- Provide technical input into data-related initiatives and projects
MEET THE MANAGER
Manos is the Head of IT Development and is looking for someone who is analytical and inquisitive and has experience working in a data team, or a background in data engineering. The role requires you to stay calm in a high-pressure environment and to âthink on your feetâ.
Quote from the manager: âScania is a fun company to work for and offers development within their departments. I am passionate about the journey Scania are taking to gain success through digitalisationâ.
Next steps: If you like the sound of this position, please apply today. A member of the Scania Recruitment team will contact you. If you are successful at that stage, you will be invited to have a conversation with the hiring manager.
We understand that every candidate is unique, and we strive to accommodate your needs. If you require any adjustments during the application process, please reach out to our Recruitment Team, weâll be happy to discuss these with you.
CLOSING DATE: 27.04.26
Please note, the closing date for this role is subject to change pending volume of applications.
Data Engineer employer: Scania (Great Britain) Limited
Contact Detail:
Scania (Great Britain) Limited Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Engineer
â¨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data pipelines, Azure Data Factory, and Snowflake. Practice common interview questions and have some examples ready to showcase your problem-solving abilities.
â¨Tip Number 3
Donât just apply anywhereâapply through our website! It shows you're genuinely interested in the role and helps us keep track of your application. Plus, itâs a great way to get noticed by our recruitment team.
â¨Tip Number 4
Follow up after your interview! A quick thank-you email can go a long way. It keeps you fresh in the interviewer's mind and shows your enthusiasm for the position. Just keep it short and sweet!
We think you need these skills to ace Data Engineer
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, Azure Data Factory, and Snowflake. We want to see how your skills align with what weâre looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre passionate about data engineering and how you can contribute to our team. Keep it concise but impactful â we love a good story!
Showcase Your Projects: If youâve worked on any relevant projects, donât hold back! Include links or descriptions of your work that demonstrate your ability to design and maintain data solutions. Weâre keen to see your hands-on experience!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, itâs super easy!
How to prepare for a job interview at Scania (Great Britain) Limited
â¨Know Your Data Tools
Familiarise yourself with Azure Data Factory and Snowflake, as these are key tools for the role. Be ready to discuss your experience with data pipelines and how you've used these technologies in past projects.
â¨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data inconsistencies or failures in previous roles. Highlight your analytical thinking and ability to stay calm under pressure, as this is crucial for the fast-paced environment.
â¨Understand Data Governance
Brush up on data governance best practices and role-based access control (RBAC). Be prepared to discuss how you ensure data security and compliance in your work, as this will be a significant part of the role.
â¨Engage with Stakeholders
Think about how you've collaborated with business stakeholders in the past. Be ready to share how you gather data requirements and deliver solutions that align with business needs, showcasing your communication skills.