Data Engineer III at Emburse

Emburse; Barcelona; Presencial; EUR 75.000 - 115.000; Jornada completa

Descripción de la vacante

Emburse in Barcelona is seeking a Data Engineer III to join the Platform analytics team. You will build and optimize data pipelines, populate data warehouses and data lakes, and help secure tenant data across the platform.

Responsibilities include developing scalable ETL/ELT processes, collaborating with data scientists and software engineers, and enabling AI data solutions and analytics across Emburse products.

Formación

• Bachelor's degree in Computer Science or related field, or equivalent years' experience.
• 4+ years of data engineering experience related to data acquisition, data pipeline or analytics systems.
• Develops code (e.g. Python, Java or .NET, or with specialized ETL tools) for the extraction, transformation, and loading of data from a variety of data sources.
• Experience with modern data lakes and data warehouses, and semantic modeling for AI optimization.
• Experience with AWS, Snowflake, Looker or similar BI stack, and ETL/ELT tools.
• Familiarity with SDLC, agile practices, and collaboration with software engineers and product managers.

Responsabilidades

• Develops data pipelines and systems in Emburse's central platform.
• Populates data warehouses and data lakes for analytics and product needs.
• Implements tenant data security and supports data science platforms.
• Integrates AI data solutions and APIs with Emburse products and analytics.

Conocimientos

Data engineering

Analytical thinking

Task prioritization

SDLC understanding

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Python

Java

.NET

Snowflake

Databricks/Spark

AWS

Looker

Fivetran/ETL tools

Data visualization tooling

Descripción del empleo

Data Engineer III - Barcelona, CT, ES (Full time, on site)

At Emburse, you'll not just imagine the future - you'll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.

Emburse data engineers develop the data pipelines and systems in the central platform empowering Emburse's SaaS products. As a data engineer, you will build the pipelines that populate the data warehouse and data lakes, implement tenant data security, support the data science platforms and techniques, and integrate AI data solutions and APIs with Emburse products and analytics. The role is based within the Emburse Platform analytics team, a fast moving and product-focused team responsible for delivering next generation business intelligence and data science capabilities across the business. Emburse, known for its innovation and award-winning technologies employ modern technologies including Snowflake, Data Bricks/Spark, AWS and Looker. In this role you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse.

Essential Functions

Technical

• 4+ years of data engineering experience related to data acquisition, data pipeline or analytics systems
• Self-sufficient in at least one large area of the data acquisition, data pipeline, analytics codebase, semantic views and an understanding of how a handful of key sub-systems interoperate
• Develops code (e.g. python, Java or .net, or with specialized ETL tools) for the extraction, transformation, and loading of data from a variety of data sources
• Builds analytical tools to utilize, model and visualize data
• Can interpret ad-hoc requests for data and translate these into the applicable data operations
• Develops scripts to automate manual processes, address data quality, enable integration or monitor processes
• Understands relational databases, columnar databases, development frameworks, and commonly used industry libraries.
• Understands testing and integration testing techniques
• Ability to read and understand existing code and offer recommendations for improvement
• Understanding of OWASP Process
• SDLC processes are followed, including adopting agile-based processes/meetings, peer code-reviews, and technical preparations required for scheduled releases.
• Understands product roadmap and how one contributes to the overall objectives
• Capable at prioritizing tasks
• Estimates their own work
• Learns and applies secure software development practices, reviews code for vulnerabilities and raises awareness of secure programming practices

Impact

• Optimizes processes, fixes bugs of moderate complexity and demonstrates proficient debugging skills
• Reviews code for team members, providing in-depth commentsDevelops new features or enhancements with minimal supervision
• Delivers medium level refactoring
• Implements unit testing and integration testing where needed
• Produces quality technical documentation
• Makes technical documentation/knowledge base contributions and technical team presentations

Communication

• Gives constructive feedback to team members
• Understanding of industry jargon and business concepts
• Raises roadblocks and updates estimations as needed

Education

• Required: Bachelor's degree in Computer Science or related field, or equivalent years' experience

Experience

• Advanced working SQL knowledge and moderate experience working with relational or columnar databases
• Experience working with a modern scalable data lake or data warehouses
• Experience working with a modern data pipeline or data workflow management tool
• Experience working with semantic data modeling for AI optimization
• Experience working in a product-oriented environment alongside software engineers and product managers
• Experience with Python in a full SDLC/production deployment environment
• Preferred: Experience with AWS services, Experience working with Snowflake, Experience working with Looker or an equivalent Business Intelligence suite, Experience working with Fivetran or an equivalent ETL/ELT suite, Experience with Databricks or an equivalent Spark-based suite, Financial Industry experience preferred

Why Emburse?

Finance is changing - at Emburse, we're leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend - so they can focus on what's next, not what's slowing them down.

• A Company with Momentum - We serve 12M+ users across 120 countries, helping businesses modernize their finance operations.
• A Team That Innovates - Work alongside some of the brightest minds in finance, tech, and AI to solve real- world challenges.
• A Culture That Empowers - Competitive pay, flexible work, and an inclusive, collaborative environment that supports your success.
• A Career That Matters - Your work here drives efficiency, innovation, and smarter financial decision-making for businesses everywhere.

Shape your future & find what's next at Emburse.

Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.