Speedcast

DataEngineer

€55–65k Spain FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer at Speedcast. Skills: Data Engineering, AWS, Data Pipelines, Python. Design data solutions. Develop data solutions”

Industry & Context.

Problems you'll solve

Analytical skills; Problem-solving skills

What They're Looking For.

Must Have

Commercial experience with Python, SQL skills, Experience using Git, Experience working within Agile/Scrum, Hands-on experience with AWS services, Understanding of AWS security best practices, Experience containerising applications using Docker, Experience developing and maintaining data pipelines, Understanding of data quality best practices, Understanding of data engineering best practices, Good understanding of SDLC, Analytical and problem-solving skills, Excellent communication skills, Excellent stakeholder management skills

Nice to Have

Advanced AWS expertise, Relevant AWS certifications, Experience designing analytical data models, Experience with Data Lakes, Experience with AWS Lake Formation, Experience with Data Lakehouse architectures, Experience with Bitbucket, Experience with Spark, Experience with PySpark, Understanding of MPP databases, Understanding of columnar storage technologies, Understanding of Parquet file formats, Experience with datasets, Experience with analytics tools, Experience with data visualisation tools, Experience with AWS deployment tools, Experience using Infrastructure as Code tools, Good understanding of GDPR, Good understanding of data governance principles, Experience supporting BI initiatives, Experience supporting Data Warehousing initiatives, Exposure to Data Science environments, Exposure to Machine Learning environments

What You'll Do.

Design data solutions

Develop data solutions

Maintain data solutions

Design data applications

Develop data applications

Test data applications

Maintain data applications

Design data pipelines

Develop data pipelines

Maintain data pipelines

Participate in Agile ceremonies

Participate in backlog grooming

Participate in sprint planning

Participate in prioritisation activities

Contribute to data architecture design

Implement data architecture design

Maintain data architecture design

Collaborate with data scientists

Collaborate with analysts

Collaborate with software engineers

Collaborate with business stakeholders

Deliver data-driven solutions

Monitor data platform performance

Implement performance improvements

Ensure data reliability

Ensure operational excellence

Evaluate new data technologies

Support adoption of new data technologies

Evaluate new data tools

Support adoption of new data tools

Evaluate new architectural approaches

Support adoption of new architectural approaches

Shape Data Warehousing vision

Execute Data Warehousing vision

Build cross-functional relationships

Understand data needs

Promote best practices in data engineering

Foster culture of continuous improvement

Participate in strategic planning

Define objectives for data initiatives

Define execution roadmaps for data initiatives

Communicate technical concepts

Communicate project progress

Foster collaborative team culture

How You'll Work.

Team & Collaboration

Data Engineering; Data Science; DevOps; Cross-functional relationships; Agile ceremonies; Product Managers

Communication Scope

Technical concepts; Project progress; Stakeholder management

Process & Methodology

Agile, Scrum, Backlog grooming, Sprint planning, Prioritisation

Full Job Description

Data Engineer **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

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