Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Design and implement scalable cloud data architectures using GCP and BigQuery.
Collaborate with engineering teams and business stakeholders to translate requirements into data solutions.
Establish data governance, security, and best practices across platforms.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience, they have a close-knit LATAM remote team and value autonomy, open communication, and diversity.
Design and develop scalable data architectures and cloud-based data solutions using GCP.
Build and maintain data pipelines using BigQuery, Dataflow, Dataform, and other GCP data services.
Collaborate with technical and business stakeholders to translate requirements into reliable data products.
Huge is an independent, human-first AI-native design and technology company. They bring together more than 1,000 design and technology experts worldwide to partner with ambitious brands.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across over 25 countries, they collaborate to build solutions with real impact.
Build and optimize scalable data pipelines using Databricks, Spark, and PySpark for cloud migration.
Design and maintain data models (Bronze, Silver, Gold layers) to enable analytical insights.
Ensure data quality and governance while managing the technical roadmap and communicating with stakeholders.
CI&T helps large companies transform AI potential into real business impact with AI deployment and tech-integrated solutions. They have 8,000 employees across 25+ countries, fostering a collaborative and innovative culture.
Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.
A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.
Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold).
Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts.
Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration.
Kitman Labs is a performance intelligence company that transforms how the sports industry uses data to unlock athlete potential. With over 2000 teams in 50 leagues across 6 continents, the company has assembled a team of top data scientists, sports performance scientists, and product specialists, fostering an innovative and collaborative culture.
Lead the design and implementation of scalable data models and pipelines that turn complex data into clear, trustworthy insights.
Drive adoption of best practices for dbt development, testing, and CI/CD while mentoring peers.
Partner with analysts, engineers, and stakeholders to translate business requirements into well-structured data models.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy, and our culture is built on trust, collaboration, and continued improvement.
Identify, design, and implement internal process improvements to automate manual processes and optimize data delivery.
Collaborate with data and analytics experts to enhance functionality in data systems.
Develop ETL jobs using MSSQL, Snowflake, Talend, and other tools to move data from OLTP databases to the Data Lake.
GreenSky is a financial technology company that provides innovative lending solutions. The company fosters a culture of collaboration and data-driven decision-making.
Build and maintain ETL/ELT pipelines to onboard new data sources and ensure reliable data delivery to the platform.
Collaborate with cross-functional teams to support data models, infrastructure, and data governance standards.
Explore and pilot new tools to improve pipeline reliability and onboarding speed.
B Lab is the nonprofit behind Certified B Corporations, a community of businesses that meet verified social, environmental, and governance standards. They are a global nonprofit with a mission-driven team working towards economic systems change.
Own the design, development, and support of data pipelines for B2B clients using BigQuery, dbt, and Python.
Partner with client teams to translate marketing and business requirements into reliable, scalable data solutions.
Build standardized data capabilities by identifying recurring client needs and creating reusable components.
Wpromote is a digital marketing agency that helps clients grow through data-driven strategies. With a remote-first culture, they have been recognized as a Best Place to Work and are expanding their teams.
Design, develop, and maintain ETL/ELT data pipelines from multiple sources.
Integrate and optimize data storage and processing for high performance and scalability.
Collaborate with data scientists and analysts to ensure clean, structured datasets for analysis.
iCodde is a technology recruitment and staffing company. They focus on building data infrastructure and offer referral bonuses to leverage personal networks.
Write, optimize, and maintain complex SQL across multiple database platforms and Databricks.
Design and build data ingestion pipelines using API integrations, CDC patterns, and modern data engineering practices.
Develop and maintain Databricks Lakehouse architectures following the Medallion model.
Coforge is a global IT services company specializing in digital transformation and technology solutions. With over 20,000 employees worldwide, the company fosters a collaborative and innovative culture focused on delivering value to clients.
Manage platform data and technology to ensure optimal performance and scalability.
Orchestrate ETL processes and architect event-driven data solutions for efficient data consumption.
Promote data quality, observability, and cost optimization while enabling domain data integration and API management.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, they have 8,000 employees across 25 countries, fostering a culture of continuous innovation and AI-driven work.
Design, develop, and maintain scalable data pipelines and infrastructure.
Collaborate with cross-functional teams to ensure data integrity and usability.
Implement data quality and governance practices within data pipelines.
We help large enterprises transform with AI and tech-integrated solutions. With 8,000 employees across 25+ countries, we collaborate to build solutions with real impact.