Design and implement modern data platforms and scalable data pipelines to enable better data-driven decisions.
Develop and maintain ETL/ELT pipelines using SQL, Spark/PySpark, and Microsoft Fabric or Databricks.
Work closely with data architects, BI developers, and customer stakeholders in an Agile environment.
Tieto, through MentorMate, creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. The company provides its people with the opportunity to work on impactful, global projects for recognizable brands.
Lead and support Data Engineering teams, driving technical excellence and mentoring engineers in scalable data solutions.
Design and oversee data solutions using Databricks, Apache Spark, and cloud platforms like AWS, Azure, or GCP.
Collaborate with clients and stakeholders to define technical strategies and ensure high-quality, business-driven outcomes.
CI&T helps large enterprises transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25+ countries, they foster a collaborative culture focused on innovation and growth.
Design, build, and evolve large-scale, cloud-based data platforms supporting analytics, machine learning, and business intelligence.
Lead the development and optimization of scalable ETL/ELT pipelines for batch and near real-time processing.
Define data architecture standards, modeling approaches, and governance frameworks across projects.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They process applications using AI to ensure fair review and share shortlisted candidates directly with employers.
Partner directly with enterprise customers to design, build, and scale data solutions that power business-critical applications.
Architect modern cloud-native data platforms using Databricks, ClickHouse, Python, and distributed processing frameworks.
Drive best practices in data governance, security, observability, and operational excellence across engineering teams.
Resilinc pioneers intelligent, autonomous systems for supply chain risk management, using agentic AI to help global enterprises predict disruptions and act in real time. The company is a fully remote, mission-led team with a collaborative culture, trusted by top companies in various industries.
Design and deliver end-to-end data platforms for analytics, BI, machine learning and AI-ready data products
Build and optimise scalable ETL/ELT pipelines with Databricks, Spark/PySpark, SQL and Python
Apply data quality, governance and security standards across the platform and mentor engineers
Tieto Tech Consulting provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. They focus on diversity, equity, and inclusion, fostering an inspiring workplace with a global team.
Design and build scalable data pipelines and architectures using Databricks, Azure Data Factory, and ADLS to support analytics and AI use cases.
Integrate structured and unstructured data from multiple enterprise sources into robust cloud data platforms for financial domains like credit analysis and document intelligence.
Apply DevOps practices and collaborate with stakeholders to modernize legacy reporting systems and enable real-time data-powered decision-making.
This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.
Design and build infrastructure for optimal extraction, transformation, and loading of data using cloud services and SQL.
Develop, maintain, and optimize mission-critical data pipelines to ensure continuous flow of high-quality data.
Collaborate with cross-functional teams to understand requirements and deliver integrated end-to-end data solutions.
This company specializes in data engineering and AI/ML, building robust systems for data flow and accessibility. The team is dedicated to designing and maintaining scalable infrastructure to drive data-driven innovation.
Lead and manage a global data engineering team building large-scale data pipelines and production datasets for the Public Investor business.
Collaborate with product, research, and operations teams to translate roadmap priorities into scalable technical plans and customer-facing data feeds.
Drive operational excellence through data quality frameworks, observability, and AI-assisted development practices.
YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from alternative data. With over $475M raised and offices globally, it has a people-centric culture recognized as a Best Workplace for three consecutive years.
Design and optimize large-scale ETL pipelines using Python, PySpark, SQL, DBT, and cloud-based data platforms.
Define technical vision and architecture for data integration solutions, ensuring scalability and reliability.
Lead technical initiatives, mentor engineers, and collaborate with cross-functional teams to deliver high-quality data solutions.
Jobgether uses AI-powered matching to connect candidates with job opportunities at partner companies. They focus on efficient, objective recruitment processes for a fast-growing remote-first environment.
Lead technical direction of the data team, designing scalable data architectures for batch and streaming processing.
Translate business requirements into efficient data solutions and collaborate with CRM and Martech teams.
Mentor engineers and define data governance, quality, security, and observability standards.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company uses automated processes to review applications and share top-fitting candidates directly with employers.
Lead the design and implementation of robust data platforms using Azure Data Stack, including Microsoft Fabric, Azure SQL, and Power BI, to enable data-driven decision-making.
Architect scalable data models, ETL/ELT pipelines, and analytics layers, ensuring data governance, security, and compliance with retention policies.
Mentor junior team members, perform code reviews, and drive adoption of AI-assisted data engineering tools and practices.
3Pillar is an AI transformation partner that builds AI-native products and intelligent agents for enterprises, working with leading companies in financial services, healthcare, media, and technology. With teams across North America, Europe, Latin America, and Asia, they foster a global, remote-first culture focused on innovation and collaboration.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Act as a technical advisor for Databricks integration with data privacy and governance tools to ensure LGPD compliance.
Guide data discovery, classification, and scanning processes across the Data Lake.
Collaborate with cross-functional teams to design secure, scalable, and compliant data solutions.
CI&T helps large enterprises 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 more than 25 countries, we collaborate to build solutions with real impact.
Own Databricks production support for the Sugar Predict data platform, including monitoring and incident response.
Migrate legacy ETL pipelines to Databricks, building automation tooling to reduce manual intervention.
Design and build high-performance Databricks pipelines that ingest and serve ERP and CRM data at scale across Azure and AWS.
SugarAI is redefining CRM for the age of AI by turning fragmented customer and revenue signals into clear, prioritized action. With a global team committed to impact, ownership, and continuous growth, we create an environment where thoughtful ideas move quickly and people are trusted to lead.
Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Design, build, and scale cloud-based data platforms that support critical business insights and operations.
Collaborate with cross-functional teams to extract, load, and transform data using cloud-native principles.
Mentor engineers and drive architectural direction through code reviews, testing, and documentation.
Credit Acceptance is a leading used car finance company in the United States. It has a world-class culture shaped by dedicated Team Members and a shared drive to succeed.
Play a crucial role in helping client organizations transform raw data into reliable, well-modeled assets that drive business decisions.
Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform.
Collaborate with data engineers, analysts, and clients on end-to-end data requirements and project delivery.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. Our culture is built on a foundation of trust, collaboration, and continued improvement, and we are a remote first company that offers competitive pay and excellent benefits.
Design and maintain ETL processes using Python (PySpark) and Azure Synapse Analytics.
Collaborate with data scientists and analysts to deliver high-quality analytical data for decision-making.
Optimize data pipelines for scalability and performance while ensuring data accuracy and compliance.
Bluelight is a leading software consultancy focused on designing and developing innovative technology to improve users' lives. With a presence across the United States and Central/South America, the company values quality, customer satisfaction, and a collaborative culture where each team member can grow.
Design, build, and maintain scalable data pipelines and platform components for analytics, BI, data science, and AI.
Lead evolution of a Databricks-based Lakehouse platform, defining architecture, governance models, and engineering standards.
Provide senior technical leadership through architecture design, code quality standards, mentoring, and engineering decision-making.
Jobgether uses AI-powered matching to connect candidates with hiring companies. This role is for a partner company building a modern data and AI platform, fostering a collaborative and engineering-driven culture with emphasis on innovation and learning.
Design, build, and maintain scalable batch and streaming data pipelines.
Develop reliable ETL/ELT workflows using Python, Spark, and modern orchestration tools.
Improve data quality, validation, monitoring, and observability across the platform.
The company is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry. It operates in a stable growth phase with an established product and a strong technical team.