Senior Data Engineer (Spain and Portugal, Remote, m,d,f) Lisboa

Senior Data Engineer (Spain and Portugal, Remote, m,d,f)
Lisboa
Lisboa, Lisboa, Portugal

Senior Data Engineer (Spain and Portugal, Remote, m, d, f)

Senior Data Engineer (Spain and Portugal, Remote, m, d, f)

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YOUR MISSION

We are looking for a
- class Senior Data Engineer to help shape and scale our data platform, powering insights and
- making across our suite of Saa
S 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
- facing features.

YOUR MISSION

We are looking for a
- class Senior Data Engineer to help shape and scale our data platform, powering insights and
- making across our suite of Saa
S 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
- 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
- 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
- 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.

An accomplished Senior Data Engineer at Factor Eleven is someone who consistently raises the bar - delivering
- quality solutions, strengthening team collaboration, and leaving lasting improvements in system design, data reliability, and team growth.

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
  - impact data solutions - owning timelines, sharing updates, and driving
  -
  - 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
  - time analytics.
• Help scope work, estimate complexity, and break down tasks for yourself and the team to ensure
  - time and
  - 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
  - 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,
  - 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
  - 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
  - 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, Big
  Query), and
  - time streaming systems (e. g Kafka, Kinesis).
• Strong advocate of automated testing and CI/CD for data pipelines and infrastructure.
• Highly collaborative with exceptional
  - 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.
  
  

Benefits

WHY US?

Factor Eleven's tech department is the inhouse tech
- up responsible for our Saa
S 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
- 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.

Our Perks & Benefits

• Transparent,
  - market salaries
• 100% remote within Europe
• Flexible
  - hours and
  - time models
• Be part of a
  - growing,
  - skilled team
• In person department and company events
• Home office,
  - working space and
  - 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  IT Services and IT Consulting

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