Principal/Senior/Mid Data Practitioners, Aily Labs
Salary not provided
Junior, Mid, Senior and Expert level
Barcelona
2 days a week in office
Decision intelligence app
Job no longer available
Decision intelligence app
201-500 employees
B2BArtificial IntelligenceBusiness IntelligenceSaaS
Job no longer available
Salary not provided
Junior, Mid, Senior and Expert level
Barcelona
2 days a week in office
201-500 employees
B2BArtificial IntelligenceBusiness IntelligenceSaaS
Company mission
To transform ways of working by empowering businesses with meaningful AI.
Role
Who you are
- Mid Data Practitioner- 2–4 years of experience
- All of the above +
- Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases with growing autonomy
- Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools
- Implement robust data quality frameworks, monitoring, and alerting systems at scale
- Optimize data workflows for cost, performance,e and reliability across multiple datasets
- Mentor junior team members on data engineering best practices and tooling
- Senior Data Practitioner – 4+ years of experience
- All of the above, plus:
- Lead the design and implementation of complex, scalable data platforms and pipelines that support multiple teams and use cases
- Drive improvements in data infrastructure, tooling and processes that reduce operational burden and improve data team efficiency
- Own critical data systems end-to-end, from requirements to production monitoring, with only strategic guidance
- Establish and enforce data engineering standards (quality, governance, reliability, performance) across the organization
- Collaborate with ML Engineering, Data Science and Product teams to design data architecture that powers AI at scale
- Principal Data Practitioner – 8+ years of experience
- Act as technical authority for the Data Platform, deeply understanding Aily's data architecture and shaping long-term data strategy across teams
- Lead cross-team data architecture discussions and technical design sessions, ensuring scalable, future-proof solutions
- Define and maintain org-wide data standards (quality, governance, reliability, performance, security) and drive adoption across all teams
- Own multiple critical data initiatives simultaneously, managing complexity, external stakeholders, and leadership expectations
- Solve org-critical data challenges and represent data engineering standards as the ultimate quality gatekeeper
- Who we’re looking for (all levels)
- Data Engineers who excel at building reliable, scalable data infrastructure that powers AI decision-making at enterprise scale
- Hands-on builders who love creating robust data pipelines, optimizing systems for performance and cost, and ensuring data quality at every step
- Strong collaborators who partner with Data Scientists, ML Engineers, Product teams, and business stakeholders to turn raw data into actionable insights
- Startup mindset: thrives in ambiguity, proactively solves complex data challenges, and improves tooling beyond your immediate scope
- Ready to Lead Boldly – building the data foundation that enables Aily's AI platform to deliver millions of real-time insights daily
- Applicants must already have the legal right to work in Spain
What the job involves
- We are looking for Data Practitioners who are passionate about building reliable, scalable data infrastructure that powers AI at scale: people who make data accessible, trustworthy, and ready for ML, ensuring our decision intelligence platform can serve millions of insights every day. Your job is to build the data foundation that makes Aily's AI possible
- We are the backbone of Aily’s "Data-to-Decision" engine. We build and own the complete data lifecycle—from ingestion and transformation to quality and delivery. Our team develops robust APIs and scalable infrastructure that ensure high-quality data is always available for the Aily App and our AI models
- We operate at the intersection of business and technology, supporting critical domains including Finance, R&D, GTM (Go-to-Market), M&S (Marketing & Sales), and Spend. Our pipelines power the Aily App across multiple tenants, delivering the insights that drive global enterprises in several industries
- Our key technical challenges:
- Scale: Managing multi-tenant, config-driven pipelines that adapt to diverse client needs
- Reliability: Ensuring 24/7 uptime through automated QA, validations, and proactive monitoring
- Quality: Implementing sophisticated business logic checks to maintain a "Single Source of Truth."
- Governance: Orchestrating complex event-driven and scheduled flows while maintaining strict data security and compliance
- Data is our product. We work as strategic partners:
- With Product: To define and refine features that solve real-world problems
- With Software Engineering: Establishing clear Data Contracts to ensure seamless integration with the Aily App
- With ML & Data Scientist: Engineering the high-performance datasets required to transform raw data into measurable AI impact
- Junior Data Practitioner – up to ~2 years:
- Build and maintain data pipelines and ETL processes for specific datasets or use cases, following existing patterns and guidance
- Implement and improve data quality checks, monitoring and alerting for assigned datasets
- Collaborate with Data Scientists and ML Engineers to make data available and usable for model development
- Deliver assigned data tasks on time with autonomy, showing accountability and a strong “doer” mindset
- Learn to work with Aily's data stack (warehouse, streaming, orchestration, catalog)
- Mid Data Practitioner- 2–4 years of experience:
- All of the above +
- Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery) for multiple use cases with growing autonomy
- Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using modern data tools
- Implement robust data quality frameworks, monitoring, and alerting systems at scale
- Optimize data workflows for cost, performance,e and reliability across multiple datasets
- Mentor junior team members on data engineering best practices and tooling
- Senior Data Practitioner – 4+ years of experience:
- All of the above, plus:
- Lead the design and implementation of complex, scalable data platforms and pipelines that support multiple teams and use cases
- Drive improvements in data infrastructure, tooling and processes that reduce operational burden and improve data team efficiency
- Own critical data systems end-to-end, from requirements to production monitoring, with only strategic guidance
- Establish and enforce data engineering standards (quality, governance, reliability, performance) across the organization
- Collaborate with ML Engineering, Data Science and Product teams to design data architecture that powers AI at scale
- Principal Data Practitioner – 8+ years of experience:
- Act as technical authority for the Data Platform, deeply understanding Aily's data architecture and shaping long-term data strategy across teams
- Lead cross-team data architecture discussions and technical design sessions, ensuring scalable, future-proof solutions
- Define and maintain org-wide data standards (quality, governance, reliability, performance, security) and drive adoption across all teams
- Own multiple critical data initiatives simultaneously, managing complexity, external stakeholders, and leadership expectations
- Solve org-critical data challenges and represent data engineering standards as the ultimate quality gatekeeper
Our take
Data-led processes are becoming a differentiator for businesses across sectors. The ability to make smarter decisions faster is a great competitive edge and one that has been supercharged by the wider adoption of artificial intelligence. Supporting businesses to act smarter, Aily Labs supplies a decision intelligence app powered by generative AI.
The platform empowers users to increase both productivity and performance through deeper, smarter and faster decision-making. What makes Aily stand out from other offerings is that it does not build costly LLMs from scratch, instead using other machine-learning approaches to power many of its features.
With the ability to support revenue maximisation across all parts of a business, Aily's value is clear. It's no surprise then that the company has raised substantial funding. It plans to invest this in global expansion and to bolster its genAI teams, accelerating use cases and introducing the ability to generate “competitive intelligence” on rival companies from external sources.
Steph
Company Specialist at Welcome to the Jungle
Insights
Led by a woman
Top investors
Company
Funding (2 rounds)
Nov 2025
$80m
SERIES B
Aug 2023
$20.9m
SERIES A
Total funding: $100.9m
Company benefits
- Global company and culture
- Hybrid working model
- Fast growth path
Company HQ
Old Town, Munich, Germany
Leadership
Bianca Diana Anghelina
(Co-Founder)Previously the Head of Global Digital Finance at Novartis, Head of Global Business Planning and Analysis at Sandoz and Senior Consultant at BMW.
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