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Software Engineer – Data Integration
Samba TVSoftware Engineer designing and building data integration platforms for media intelligence company. Collaborating with teams to ensure data reliability and operational success in Amsterdam.
Tech Stack
Tools & technologiesAirflowApacheAWSCloudETLGoogle Cloud PlatformKafkaPythonSparkSQL
About the role
Key responsibilities & impact- Design and build reliable data pipelines for ingestion, transformation, and distribution of large-scale datasets, making sound architectural decisions within your scope.
- Develop ETL/ELT workflows using distributed computing frameworks on cloud infrastructure, applying engineering judgment to design and implementation decisions within your scope, partnering with senior engineers on broader architecture.
- Build API-first services that expose ingestion, processing, and distribution capabilities to internal teams and external consumers, with attention to reliability, clear contracts, and ease of integration.
- Implement data quality validation, monitoring, and observability for the components you own, ensuring reliability and correctness in production.
- Build reusable platform components with a clear understanding of how they serve downstream consumers.
- Take ownership of components within the data integration platform, ingestion, processing, or distribution, and drive their reliability and iteration.
- Build partner and destination integrations end-to-end, including throughput tuning and operational handoff.
- Apply GDPR, CCPA, and Samba data governance requirements to the systems you build.
- Collaborate with immediate team members and engage with adjacent teams to understand downstream use cases.
- Drive technical design for components within your scope, producing design documents and participating actively in architecture discussions.
- Conduct code reviews and uphold strong standards for code quality, testability, and maintainability across the team.
- Build working relationships with adjacent teams and reason about cross-functional requirements.
- Own the reliability of your components, monitor their health, respond to incidents, and follow through on post-mortem improvements.
- Participate in on-call rotations and contribute to improving operational practices across the team.
- Build and maintain CI/CD pipelines, deployment processes, and testing coverage for team systems.
Requirements
What you’ll need- 5+ years of professional software engineering experience with a Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or 3+ years with a Master's, a PhD with no prior experience, or equivalent), with a meaningful focus on data engineering, backend systems, or distributed data infrastructure.
- Proficiency in Python and SQL; ability to write clean, well-tested, production-ready code.
- Hands-on experience with distributed processing frameworks (e.g., Spark, Databricks, or equivalent) in production.
- Hands-on production experience building cloud-native data systems on AWS, GCP, or Databricks, including their core data services.
- Experience building API-first services with a focus on correctness and reliability.
- Working experience with streaming or event-driven data processing frameworks (e.g., Kafka, Flink, Spark Streaming, or equivalent).
- Experience with workflow orchestration tools (Apache Airflow, dbt, Prefect, or equivalent).
- Familiarity with data privacy regulations (GDPR, CCPA) and an understanding of how they affect system design.
- A clear communicator who participates actively in design discussions, shares context proactively, and works well across a team. Comfortable advising more junior engineers on technical matters within your area.
- Familiarity with data warehousing and lakehouse technologies, with a preference for Snowflake.
- Experience building or operating multi-tenant data platforms.
- Experience with AI/ML integration in production data workflows.
- Exposure to ad tech, audience activation, data licensing, or digital media — familiarity with concepts such as device graphs, audience segmentation, identity resolution, or measurement.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Samba TV Website LinkedIn All Job Openings 201 - 500 employees 📱 Media ☁️ SaaS 🤖 Artificial Intelligence Media
- SaaS
- Artificial Intelligence Samba TV is a company that provides data-driven insights and solutions for television viewership. It offers omniscreen advertising and measurement solutions, leveraging technology powered by its owned tech stack. With a focus on privacy compliance, Samba TV collects data from smart TVs and provides innovative business solutions that enhance TV viewing experiences. The company positions itself as a leader in the television data industry, transforming how viewers interact with TV content across various platforms, including streaming services like Netflix, HBO, and others. Software Engineer – Data Integration 🔥 2 minutes ago 🏢🏡 Amsterdam – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑💻 Full-stack Engineer Airflow Apache AWS Cloud ETL Google Cloud Platform Kafka Python Spark SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design and build reliable data pipelines for ingestion, transformation, and distribution of large-scale datasets, making sound architectural decisions within your scope.
- Develop ETL/ELT workflows using distributed computing frameworks on cloud infrastructure, applying engineering judgment to design and implementation decisions within your scope, partnering with senior engineers on broader architecture.
- Build API-first services that expose ingestion, processing, and distribution capabilities to internal teams and external consumers, with attention to reliability, clear contracts, and ease of integration.
- Implement data quality validation, monitoring, and observability for the components you own, ensuring reliability and correctness in production.
- Build reusable platform components with a clear understanding of how they serve downstream consumers.
- Take ownership of components within the data integration platform, ingestion, processing, or distribution, and drive their reliability and iteration.
- Build partner and destination integrations end-to-end, including throughput tuning and operational handoff.
- Apply GDPR, CCPA, and Samba data governance requirements to the systems you build.
- Collaborate with immediate team members and engage with adjacent teams to understand downstream use cases.
- Drive technical design for components within your scope, producing design documents and participating actively in architecture discussions.
- Conduct code reviews and uphold strong standards for code quality, testability, and maintainability across the team.
- Build working relationships with adjacent teams and reason about cross-functional requirements.
- Own the reliability of your components, monitor their health, respond to incidents, and follow through on post-mortem improvements.
- Participate in on-call rotations and contribute to improving operational practices across the team.
- Build and maintain CI/CD pipelines, deployment processes, and testing coverage for team systems. 🎯 Requirements
- 5+ years of professional software engineering experience with a Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or 3+ years with a Master's, a PhD with no prior experience, or equivalent), with a meaningful focus on data engineering, backend systems, or distributed data infrastructure.
- Proficiency in Python and SQL; ability to write clean, well-tested, production-ready code.
- Hands-on experience with distributed processing frameworks (e.g., Spark, Databricks, or equivalent) in production.
- Hands-on production experience building cloud-native data systems on AWS, GCP, or Databricks, including their core data services.
- Experience building API-first services with a focus on correctness and reliability.
- Working experience with streaming or event-driven data processing frameworks (e.g., Kafka, Flink, Spark Streaming, or equivalent).
- Experience with workflow orchestration tools (Apache Airflow, dbt, Prefect, or equivalent).
- Familiarity with data privacy regulations (GDPR, CCPA) and an understanding of how they affect system design.
- A clear communicator who participates actively in design discussions, shares context proactively, and works well across a team. Comfortable advising more junior engineers on technical matters within your area.
- Familiarity with data warehousing and lakehouse technologies, with a preference for Snowflake.
- Experience building or operating multi-tenant data platforms.
- Experience with AI/ML integration in production data workflows.
- Exposure to ad tech, audience activation, data licensing, or digital media — familiarity with concepts such as device graphs, audience segmentation, identity resolution, or measurement. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Engineering Lead – Platform Team 🕒 6 days ago WeTravel 51 - 200 🛍️ eCommerce ☁️ SaaS Website LinkedIn All Job Openings Engineering Leader responsible for platform reliability and infrastructure at WeTravel, a travel tech company. Leading a small engineering team to support growth and innovation. 🏢🏡 Amsterdam – Hybrid 💰 $27M Series B on 2022-10 ⏰ Full Time 🟠 Senior 🧑💻 Full-stack Engineer AWS Cloud SDLC Terraform Senior Fullstack Engineer 🕒 May 5 Coda 201 - 500 🛍️ eCommerce 💳 Fintech 🎮 Gaming Website LinkedIn All Job Openings Senior FullStack Engineer involved in developing a cutting-edge platform for global commerce solutions. Collaborating with cross-functional teams using TypeScript and cloud technologies. 🏢🏡 Amsterdam – Hybrid ⏰ Full Time 🟠 Senior 🧑💻 Full-stack Engineer Cloud Cypress JavaScript Jest Next.js TypeScript Software Engineer 🕒 May 2 Hadrian 51 - 200 🔒 Cybersecurity 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings Software Engineer at Hadrian designing and implementing high-performance backend services for an offensive cybersecurity platform. Work with distributed systems and autonomy-driven security operations. 🏢🏡 Amsterdam – Hybrid 💰 Venture Round on 2023-01 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑💻 Full-stack Engineer Apache Cyber Security Distributed Systems Kafka Kubernetes Postgres Python Go High Performance Computing Engineer – Linux Kernel 🕒 April 29 The Next Chapter 1 - 10 🎯 Recruiter Website LinkedIn All Job Openings HPC Engineer optimizing performance of GPU clusters and computational efficiencies in a dynamic AI organization. Collaborating on innovative HPC solutions with a focus on operational optimization and design. 🏢🏡 Amsterdam – Hybrid 💵 $160k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑💻 Full-stack Engineer Linux Python Go Software Engineer II 🕒 April 21 TomTom 1001 - 5000 🔌 API 🚗 Transport Website LinkedIn All Job Openings Software Engineer II contributing to customer experience core development at TomTom. Engaging in UI and UX design and utilizing AI tools for development. 🏢🏡 Amsterdam – Hybrid 💰 Post-IPO Equity on 2009-06 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑💻 Full-stack Engineer Cloud View More Full-stack Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs
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Hard Skills & Tools
PythonSQLETLELTdistributed processing frameworkscloud-native data systemsAPI-first servicesstreaming data processingworkflow orchestrationdata warehousing
Soft Skills
clear communicatorcollaborationtechnical designcode reviewownershipproblem-solvingmentorshipreliabilityproactive sharingcross-functional teamwork