Senior Scala Engineer - Data Platforms at Beyond

, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scala, GCP Dataflow, Apache Beam, BigQuery, Pub/Sub, Cloud Functions, Data Engineering, Data Modeling, Schema Design, Data Lifecycle Management, Node.js, Python, Functional Programming, CI/CD, Terraform, Docker

Industry

IT Services and IT Consulting

Description

Beyond is Qodea’s Customer Experience Design Studio. We design the ‘surfaces’ where customers and technology meet. Our teams shape the intelligence behind those experiences, turning data, design, and emerging technologies into products that are intuitive, adaptive, and human. We are multi-disciplinary designers, product strategists, writers, architects, engineers, data scientists, and ML researchers, united by a single goal: to design a better future for our clients and their customers. We believe we are on the cusp of a new golden era of design, one where design will be more important than ever. An era of exploration and discovery. We’re building a studio where designers immerse themselves in AI design paradigms, experimenting with adaptive patterns, conversational interfaces, and agentic workflows, the foundation for tomorrow’s customer experience. We look for people who embody: Innovation to solve the hardest problems. ‍Accountability for every result. ‍Integrity always. About The Role: We're looking for an experienced and hands-on Senior Scala Engineer to help drive the modernization and evolution of our core data processing platforms. This role is key to enhancing and scaling high-traffic, mission-critical data pipelines on the Google Cloud Platform (GCP). You will be a vital contributor to our Scala-based Dataflow processing, focusing on implementation, performance, and reliability at scale. This is a hands-on technical role for someone who thrives on solving complex distributed systems problems and delivering high-quality, efficient code within a collaborative team. What You'll Do: Implement and enhance sophisticated, high-throughput batch and streaming data pipelines using Scala and GCP Dataflow (Apache Beam). Contribute to the architectural design and technical roadmap for modernizing our data ingestion and processing pipelines. Develop and implement performance optimizations, such as migrating services to use Cloud Functions for exporting data from BigQuery to Pub/Sub more efficiently. Collaborate with Staff Engineers to expand the functionality of our data export systems for external partners. This includes pulling data from BigQuery, creating formatted feed files, and exporting them to various external stores (e.g., FTP, GCS, S3). Support and contribute to the expansion of existing data integrations, including adding new fields to schemas and ensuring that data is propagated correctly through the entire pipeline. Actively contribute to the refactoring and modernization of legacy Scala codebases, applying best practices in functional programming, testing, and observability. Collaborate closely with teams using Node.js APIs (for data ingestion) and Python (for data transformations), maintaining clear data contracts and robust integration patterns. Act as a strong technical communicator, contributing to technical approaches, breaking down complex problems, and engaging in rapid, iterative development cycles by asking questions quickly rather than working in isolation. Requirements: Degree in Computer Science or a related technical discipline. 6+ years of software engineering experience, with a strong background in building and operating large-scale, high-traffic distributed systems in production. Deep expertise in Scala and its functional programming paradigms. Demonstrable, hands-on experience with GCP Dataflow (Apache Beam). Experience with other major streaming/batch frameworks (e.g., Apache Spark, Akka Streams) is also highly valuable. Strong proficiency in the GCP ecosystem, including critical services like BigQuery, Pub/Sub, and Cloud Functions. Solid understanding of data engineering principles, including data modeling, schema design, and data lifecycle management. Experience building and maintaining data export feeds to external systems (e.g., SFTP, GCS, S3). Proven ability to take ownership of complex technical features and deliver them from design to production. Excellent communication skills, with experience working in polyglot environments (interfacing with Node.js, Python, etc.) and a proactive, inquisitive approach to problem-solving. Ability to be available for key synchronous meetings and standups between 6:00 PM and 7:00 PM GMT. Preferred Qualifications: Familiarity with CI/CD best practices and infrastructure-as-code tools (e.g., Terraform, Docker, Kubernetes). Working knowledge of Node.js or Python for data-related tasks. Experience with other data stores (e.g., NoSQL, time-series databases) or data orchestration tools (e.g., Airflow). Diversity and Inclusion At Beyond, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.

Responsibilities

The Senior Scala Engineer will implement and enhance high-throughput batch and streaming data pipelines using Scala and GCP Dataflow. This role involves collaborating with teams to modernize data ingestion and processing pipelines while ensuring performance and reliability at scale.