Senior Data Engineer

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Atto

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2010

☁️ SaaS

🤝 B2B

💰 $9.5M Series A - Atto on 2023-02

SaaS • B2B

Atto is a company presenting a web-based product with a consumer-facing website. The provided assets are primarily CSS and front-end code (logo animation, form styles, card layouts like "perks_card", "insights_card", and "usecases_card") that indicate a digital product delivered via a web application—likely a software-as-a-service offering. The site includes form inputs, user interface components, and content structures for use cases, insights, and perks, suggesting a product with onboarding, marketing, and feature-focused pages. There is no explicit information in the provided text about the company's business model, sector (e. g. , finance, healthcare), or specific product functionality, so the description remains focused on the observable web/SaaS nature of the company.

📋 Description

• Design, build, and operate data ingestion and ETL/ELT pipelines for our data systems that power Atto products and customer-facing applications. • Build and maintain our data platform architecture and infrastructure, including data pipelines, warehouses that power analytics and product features and reporting. • Implement data modelling, schema design, and data contracts to make datasets easy to consume. • Introduce and maintain observability, data quality checks, and automated testing for our production data flows. • Driving impact at scale by improving data workflows, service reliability, and making Atto’s capabilities faster, more reliable and widely accessible. • Collaborate with product managers and cross-functional teams to translate market signals and customers’ needs into innovative data-driven solutions. • Create new systems and approaches, while continuously improving and scaling existing ones for performance, reliability, and efficiency. • Conduct deep analysis of transactional datasets to validate data models, surface data quality issues, and propose engineering fixes. • Optimise performance and cost of data processing and storage across cloud services. • Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across the business. • Stay current with industry developments, emerging technologies, and best practices in data engineering.

🎯 Requirements

• 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 proven experience designing, building and optimising data pipelines and data warehouse schemas. • Strong proficiency in Python for production data engineering with a focus on building maintainable, testable and clean code. • Track record of 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, etc. • Experience working 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 (We’re getting greedy) • 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

• 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 make sure you have everything you need to do your best work (get comfy - we want you to stay) • 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