This is a contract full-time remote position for those based in Brazil. The initial contract is for 6 months, with strong potential for extension.

About Us

Nearform is an independent team of engineers, designers, data experts and strategists who build intelligent digital solutions and capability at pace. We create software solutions that enhance digital experiences, empower developers, and deliver measurable results. In these ways, we partner with ambitious enterprises to deliver enduring impact.

Our deep expertise in solving the world’s most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernize legacy systems, with confidence.

Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.

As part of our Engineering function, you will work closely with clients to translate complex business requirements into innovative digital products.

Whether you are a Senior Engineer, Tech Lead, or DevOps Engineer, you will collaborate with distributed teams, leveraging cutting-edge technologies to build secure, high-performance applications. Our Nearform engineers are known for building high quality, scalable solutions that solve real world problems.

The Role

About the Senior Data Engineer role

As a Senior Data Engineer at Nearform your main task will be designing, building, and maintaining scalable data platforms, pipelines, and warehouses using SQL, Python, Spark, and other relevant technologies. You will play a key role in building efficient data solutions, optimizing performance, and ensuring seamless data integration. However as you’ll likely work on a variety of projects your responsibilities may also include:

Designing, building, and optimizing data pipelines and ETL processes for large-scale data ingestion and transformation.
Developing and maintaining data platforms and warehousing solutions to support analytics and business intelligence needs.
Implementing scalable data storage solutions and ensuring high availability and performance.
Enhancing performance in data processing workflows for maximum speed and scalability.
Collaborating with data scientists, analysts, and stakeholders to understand business needs and translate them into data engineering solutions.
Ensuring data quality, governance, and compliance across all systems.
Supporting CI/CD processes for data pipeline deployments and implementing best practices in DevOps for data workflows.
Conducting code reviews and enforcing best practices in version control, automation, and testing.
Assisting with defining structured source code management and deployment processes.
Working with and supporting Technical Leaders in project execution and timely delivery.
Collaborating with client teams.

What we are looking for in this person

Significant experience delivering at a Senior Engineer level, specialising in Data engineering. Our Seniors typically have at least 6 years’ commercial experience.
Extensive hands-on experience in SQL, Python, and Spark for large-scale data processing.
Strong experience with AWS data solutions and data lake architectures.
Experience with Apache Iceberg.
Strong expertise in data warehousing technologies (e.g., Snowflake, Redshift, BigQuery, or similar).
Practical experience of delivering in an agile environment.
Practical experience and knowledge of developing real-world solutions.
Deep understanding of ETL processes, data modeling, and schema design.
Experience with automation, CI/CD for data pipelines, and Infrastructure as Code (IaC).
Deep understanding of versioning control tools - e.g. Git.
Experience building software collaboratively using pull requests and code reviews.
Familiarity with data governance, security, and compliance best practices.
Excellent communication and collaboration skills.
Professional proficiency in English.

Our Interview Process

Talent Call (30 mins via Zoom)
An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment.

Technical Assessment (1 hour via Zoom)
A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your data engineering expertise, problem-solving ability, and coding best practices in a real-time environment.

Hiring Manager Interview (45 mins via Zoom)
A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.

There may also be an additional interview with the client depending on the project

Ready to Join Us?

If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.

Newsletter