Senior Data Engineer (Europe, Remote, m,d,f)

Factor Eleven; Madrid; A distancia; EUR 50.000 - 90.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Senior Data Engineer, where you'll shape and scale a cutting-edge data platform. In this fully remote role, you'll design robust data pipelines, collaborate with cross-functional teams, and lead technical discussions. Your expertise in cloud-based data platforms and modern data stacks will be crucial in driving insights and decision-making across innovative SaaS products. Enjoy flexible work hours, transparent salaries, and opportunities for personal and professional development as you contribute to a dynamic team dedicated to advancing digital advertising solutions.

Servicios

Transparent, above-market salaries

100% remote within Europe

Flexible work-hours

In-person department events

Home office allowance

Professional development courses

Relocation and visa support

Formación

• 5+ years of experience in data engineering with a focus on data platforms.
• Advanced proficiency in Python and SQL, with experience in modern data tools.
• Strong understanding of data modeling techniques and scalable system design.

Responsabilidades

• Design and maintain data pipelines ensuring scalability and reliability.
• Develop ETL processes to ensure data accuracy and governance.
• Mentor fellow engineers and promote best practices in data engineering.

Conocimientos

Data Engineering

Python

SQL

ETL/ELT Processes

Data Modeling

Collaboration

Problem-Solving

Mentoring

Educación

Bachelor's Degree in Computer Science

Master's Degree in Data Science

Herramientas

Apache Spark

Apache Kafka

Amazon Kinesis

Apache Airflow

dbt

Snowflake

BigQuery

Descripción del empleo

We are looking for a world-class Senior Data Engineer to help shape and scale our data platform, powering insights and decision-making across our suite of SaaS digital advertising products. You'll play a key role in designing and building robust, scalable data pipelines and services that fuel analytics, machine learning, and customer-facing features.

You'll collaborate closely with Product Managers and Engineers to ensure our data systems are performant, reliable, and aligned with business goals. You'll contribute hands-on to critical projects, lead technical discussions, conduct code reviews, and guide others in best practices for data engineering.

To thrive in this role, you should bring strong expertise with building and managing a modern data stack - particularly familiarity with Lakehouse architecture and cloud-based data platforms.

Experience with AWS cloud platform and technologies like dbt, Apache Spark, Apache Kafka / Amazon Kinesis, and Apache Airflow / Dagster are highly valuable. You're passionate about clean, efficient data architecture and have a proven track record of mentoring others and improving engineering culture.

Your Responsibilities

• Design, build, and maintain data pipelines, architectures, and platforms, ensuring scalability, reliability, and efficiency.
• Develop and implement ETL / ELT processes to move and transform data for analysis, ensuring data accuracy, completeness, and consistency through quality checks and governance frameworks.
• Mentor and support the growth of fellow data engineers by sharing best practices and encouraging a culture of learning.
• Work closely with peers across engineering, product, and business teams to understand requirements to unlock business insights that drive business value.
• Consistently deliver high-impact data solutions - owning timelines, sharing updates, and driving end-to-end project execution.
• Maintain and promote best practices for data engineering, testing, and documentation by actively engaging in technical reviews and design discussions.
• Stay informed about industry trends and advancements in the data ecosystem, including cloud services like AWS, big data processing, and real-time analytics.
• Help scope work, estimate complexity, and break down tasks for yourself and the team to ensure on-time and high-quality delivery.

Requirements

YOUR PROFILE

• 5+ years of professional experience in data engineering, with a deep focus on building and scaling data platforms and infrastructure.
• Excellent understanding of different data modelling techniques and their trade-offs.
• You have experience building and maintaining a modern data stack from scratch.
• Advanced proficiency in Python and SQL, with experience using tools Apache Spark, Apache Kafka / Amazon Kinesis, Apache Airflow / Dagster and dbt.
• You build resilient, well-tested data systems with a focus on performance, security, and maintainability.
• You're an excellent communicator - capable of explaining complex technical topics to both technical and non-technical stakeholders, and you lead with empathy during difficult conversations.
• Solid foundation in computer science, with expertise in data structures, distributed systems, data modeling, and big data processing frameworks.
• Proven track record of influencing strategic decisions through architectural leadership and cross-functional collaboration.
• Experience organizing technical workshops or sessions, nurturing a growth mindset and a culture of engineering excellence.
• Deep understanding of scalable data system design, including data lakes, data warehouses (e.g. Snowflake, BigQuery), and real-time streaming systems (e.g Kafka, Kinesis).
• Strong advocate of automated testing and CI / CD for data pipelines and infrastructure.
• Highly collaborative with exceptional problem-solving skills and the ability to mentor others in a supportive and respectful way.
• Excellent organizational and project management skills - you can juggle priorities and keep projects on track.
• Passion for mentoring and knowledge sharing - you thrive in helping others grow and succeed.

WHY US?

Factor Eleven's tech department is the inhouse tech scale-up responsible for our SaaS product suite offering localized digital advertising to enterprises of all sizes and shapes. We're powering the engine that Factor Eleven is successfully built upon and elevate the possibilities of our product on a daily basis. We're working together to fulfill our ambitions as a top ad-tech provider by continuously leveling up the quality and expanding capabilities of the entire platform, as well as our engineering and product organization.

Join our amazing team in our mission to move digital localized advertisement forward and enjoy the freedom, camaraderie and perks of our fully remote operations.

• Transparent, above-market salaries
• 100% remote within Europe
• Flexible work-hours and part-time models
• Be part of a fast-growing, highly-skilled team
• In person department and company events
• Home office, co-working space and work-together allowance
• Personal and professional development courses from Udemy
• Case by case relocation and visa support

Please note that you need to be residing in and hold a work permit of a country in the European Union to be considered for this role.