Job Description
Job Title: Data Engineer
Location: Remote, Spain
Salary: EUR 55,000-65,000 (depending on experience)
Overview of Position:
As a Data Engineer, you will play a pivotal role in shaping the infrastructure that handles the company's data assets, ensuring data flows efficiently and securely from source to insight. You will be part of a team responsible for designing, building, and maintaining scalable data pipelines and storage systems that support analytics and data-driven decision-making using AWS cloud technologies.
The successful candidate will be capable of working independently, proactively driving improvements, and embracing new technologies throughout the product lifecycle. The role requires both a willingness to share knowledge and the ability to learn from other team members.
This is a newly formed team supporting a new project, providing an opportunity to influence architectural decisions, challenge assumptions, and collaborate closely with colleagues across Data Engineering, Data Science, and DevOps. As part of a small, agile team, you may also contribute to reporting, dashboard creation, and other activities required to ensure project success.
What you will do:
- Design, develop, test, and maintain data solutions, applications, and data pipelines.
- Participate in Agile ceremonies, backlog grooming, sprint planning, and prioritisation activities.
- Contribute to the design, implementation, and maintenance of scalable, secure, compliant, and reliable data architectures.
- Collaborate with data scientists, analysts, software engineers, and business stakeholders to deliver data-driven solutions.
- Monitor data platform performance and implement improvements to optimise efficiency and reduce latency.
- Actively ensure data quality, reliability, and operational excellence across data systems.
- Evaluate and support the adoption of new data technologies, tools, and architectural approaches.
- Help shape and execute the vision for Business Intelligence and Data Warehousing across the organisation.
- Build cross-functional relationships with Data Scientists, Product Managers, Software Engineers, and business stakeholders to understand and meet data needs.
- Promote best practices in data engineering and foster a culture of continuous improvement.
- Participate in strategic planning for data initiatives, helping define objectives and execution roadmaps.
- Communicate complex technical concepts and project progress to both technical and non-technical audiences.
- Mentor and support team members where appropriate.
- Foster a collaborative team culture built on transparency, accountability, and growth.
What we need from you:
- Commercial experience with Python.
- Strong SQL skills (any major SQL dialect).
- Experience using Git for source control and version management.
- Experience working within Agile/Scrum environments.
- Hands-on experience with AWS services.
- Understanding of AWS security best practices for data-related products.
- Experience containerising applications using Docker.
- Experience developing and maintaining data pipelines.
- Understanding of data quality, data governance, and data engineering best practices.
- Good understanding of the software development lifecycle (SDLC).
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management skills.
Even better if you have:
- Advanced AWS expertise, including relevant AWS certifications.
- Experience designing analytical data models, particularly Kimball-style star schemas.
- Experience with Data Lakes and AWS Lake Formation.
- Experience with Data Lakehouse architectures.
- Experience with Bitbucket.
- Experience with Spark and PySpark.
- Understanding of MPP databases, columnar storage technologies, and Parquet file formats.
- Experience with datasets, analytics, and data visualisation tools.
- Experience with AWS deployment tools such as CodePipeline and CodeDeploy.
- Experience using Infrastructure as Code tools such as CloudFormation.
- Good understanding of GDPR and data governance principles.
- Experience supporting Business Intelligence and Data Warehousing initiatives.
- Exposure to Data Science or Machine Learning environments.
Working at Speedcast:
At Speedcast, we want people that like adventure. Who are motivated by work that takes uncommon ingenuity and thinking outside the box. Who relish the idea of working in an industry undergoing massive transformation. If you want to be part of a global team responsible for connecting the world, then you’re in the right place.
We're always pushing forward, never standing still. When people rely on you and your team to stay connected, it brings everyone closer together. We’re united by the adrenaline of high-stakes projects and our love of getting the job done right. You will experiment, learn and grow here, right alongside us, every single day.
Find great opportunities to make an impact. We have a "one team, one dream" mentality. We work together to make great things happen. Working at Speedcast isn't just a job, it's a career that you can take to new levels.
Top reasons why people love working at Speedcast:
Our global presence – you get to work with clients and colleagues all over the world, in every continent
Talented teammates – your co-workers are the best and brightest in the industry
Industry leadership – be part of the latest advancements shaping the future of communications
Ability to develop skills – work across departments to gain new skills and valuable experience
Choose your environment – we have an environment to fit your temperament. Choose between a traditional desk job or work in the field.
Grow your career - Guide your career in the direction you want. Gain new titles and responsibilities through our internal promotion system.
Work on diverse projects – every day is different with our customers from a range of industries around the world
Speedcast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, and other protected characteristics. The US EEO is the Law poster is available by visiting the below link:
https://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf
Speedcast does not accept or retain unsolicited résumés or phone calls and/or respond to them or to any third party representing job seekers.