Data Engineer

About the role

You will architect and maintain the data pipelines that power Ogury's Persona Intelligence platform, ensuring the reliability and performance of critical data assets. You will collaborate closely with data scientists and product analysts to translate business questions into robust data solutions that drive informed decision making. You will own the end to end lifecycle of data components, from initial design and implementation through monitoring, optimization, and iterative improvement. You will contribute to defining data standards and best practices that uphold the quality, security, and scalability of our global data ecosystem. You will play a key role in troubleshooting complex data issues, diagnosing root causes, and implementing resilient fixes that minimize business impact. You will mentor junior engineers by providing guidance and code reviews, fostering a culture of continuous learning and shared ownership across the data team. You will partner with cross functional stakeholders to gather requirements, clarify constraints, and deliver solutions that align with strategic business objectives. You will stay current with emerging data technologies and industry trends, evaluating new tools and techniques that can enhance our data infrastructure and competitive edge.

Key facts

What you'll do

Design and implement scalable data ingestion pipelines that consolidate structured and unstructured data from diverse internal and external sources into our cloud data warehouse.

Develop and optimize complex SQL queries and transformation logic to support high performance analytics, reporting, and machine learning workloads.

Collaborate with data scientists and analysts to build and maintain data models, features, and datasets that accelerate experimentation and insight discovery.

Implement robust data quality frameworks, monitoring, and alerting mechanisms to detect anomalies, ensure consistency, and maintain trust in our data assets.

Automate deployment and orchestration of data workflows using infrastructure as code principles, improving reliability, repeatability, and operational efficiency.

Partner with product and engineering teams to define metrics, definitions, and data contracts that enable clear communication and alignment across the organization.

Lead investigations into data discrepancies and performance bottlenecks, applying debugging and profiling techniques to resolve issues quickly and thoroughly.

Document data architectures, pipelines, and processes to ensure clarity, maintainability, and effective knowledge transfer across the team.

Contribute to the evaluation and adoption of new data tools and technologies, conducting proofs of concept and assessing their fit for our use cases.

Champion data governance and security practices, ensuring compliance with internal policies and external regulations relevant to our global operations.

Support the optimization of data storage and processing costs, identifying opportunities to improve efficiency without compromising functionality or insight quality.

Act as a technical liaison between engineering and business teams, translating requirements into technical specifications and delivering actionable data products.

Requirements

You hold a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related quantitative field.

You possess 3 or more years of professional experience as a Data Engineer or in a similar role building and maintaining data platforms.

You have hands on experience with SQL and at least one modern programming language such as Python or Java, demonstrating strong coding practices and problem solving skills.

You are proficient in data modeling and warehousing concepts, with proven ability to design schemas that support analytical workloads efficiently.

You have worked with cloud based data platforms and object storage, configuring pipelines and services to meet reliability and scalability demands.

You are comfortable operating in a Linux command line environment, managing processes, file systems, and basic networking for data workflows.

You understand distributed processing frameworks and have used tools such as Spark or similar engines to handle large scale data transformations.

You have experience with version control, code reviews, and collaborative software development practices, ensuring high quality and traceable changes.

You communicate clearly and professionally, both in writing and during discussions, with the ability to explain technical concepts to non technical stakeholders.

Nice to have

Experience with data visualization tools and dashboarding practices to support exploratory analysis and stakeholder reporting.

Knowledge of containerization and orchestration technologies such as Docker and Kubernetes in the context of data workloads.

Practical notes

This role is based in Barcelona and requires availability during core working hours to coordinate with global teams.

Applicants must be eligible to work legally in Spain without sponsorship for this position at this time.

The position is full time, and consistent participation during standard business hours is expected to ensure effective collaboration and delivery.