Senior Data Engineer in Edinburgh

Your role as a Senior Data Engineer with Atto involves being part of our Data Science & Engineering team, helping customers use transactional intelligence to drive smarter financial decisions and build impactful products. You will design and deliver scalable, production-ready analytical solutions that turn complex data into meaningful insights.

You will own and improve the systems that ingest, transform, and serve large-scale transactional data sets. Responsibilities include:

• Designing resilient data pipelines, implementing robust data models, deploying real-time and batch processing systems, and introducing observability, testing, and automation to maintain data trustworthiness at scale.
• Collaborating closely with data science and product teams to understand customer needs and internal strategy, producing measurable data engineering outcomes.
• Building and maintaining data ingestion and ETL/ELT pipelines for data systems that power Atto products and customer-facing applications.
• Implementing data modelling, schema design, and data contracts to facilitate easy dataset consumption.
• Introducing and maintaining observability, data quality checks, and automated testing for production data flows.
• Improving data workflows, service reliability, and making Atto's capabilities faster and more accessible.
• Creating new systems and approaches while continuously improving existing ones for performance, reliability, and efficiency.
• Conducting deep analysis of transactional datasets to validate data models, surface data quality issues, and propose engineering fixes.
• Optimising performance and cost of data processing and storage across cloud services.
• Communicating technical findings and recommendations clearly to both technical and non-technical stakeholders.
• Staying current with industry developments, emerging technologies, and best practices in data engineering.

Requirements include:

• A Bachelor’s degree in Computer Science, Data/Software Engineering, or a related discipline.
• 5+ years of hands-on experience in data engineering with a proven track record of delivering scalable, production-grade data platforms and data models.
• Strong SQL skills and experience designing, building, and optimising data pipelines and data warehouse schemas.
• Proficiency in Python for production data engineering, focusing on maintainable, testable, and clean code.
• Experience implementing data quality, observability, monitoring, and testing practices.
• Solid experience with at least one cloud provider (Azure, AWS, or GCP) and their managed data services.
• Experience with CI/CD, infrastructure-as-code, and working in containerised environments.
• Familiarity with modern data stack tools: Databricks, Snowflake, or RedShift.
• Experience with reporting and modelling tools such as Power BI, including designing performant data models and supporting self-serve analytics.
• Advanced experience in pattern recognition with the ability to translate complex data into actionable insights.
• A results-oriented mindset, able to take concepts from ideation through to tangible outputs.
• Comfortable working in a fast-paced, delivery-focused environment, balancing multiple priorities with agility.
• A proactive and collaborative approach, with a willingness to iterate, share knowledge, and challenge assumptions constructively.

Bonus Points:

• Experience building or scaling data platforms in large-scale, regulated data environments.
• Experience with DevOps for data, platform engineering, or building large data pipelines and real-time data streaming systems.
• Exposure to working in a high-growth, evolving environment where the customer is at the heart of product and engineering decisions.

Benefits include:

• A team of passionate, interesting people committed to your development and success.
• £70-£80k gross/pension.
• Personal training and Continuous Professional Development budget (CPD).
• Uncapped bike to work scheme.
• Half-day Fridays every last week of the month to recharge.
• Wellness partnerships.
• In-person and virtual team events and workshops.
• Volunteering (Social Good Connect partnership).
• 33 days holiday allowance to take when you want.
• £200 home working contribution to ensure you have everything you need to do your best work.
• Ask us about our remote-first, flexible culture - this is core to who we are, and we’re rated one of Scotland’s most flexible employers.

At Atto, you will be working for a business that is creating a more predictable future for lenders through our real-time transaction data platform. We use today’s data to better predict tomorrow. This is an exciting stage in our growth, and we’d love you to be part of the story.