Develop and maintain scalable ETL/ELT pipelines using Databricks, Spark/PySpark and SQL
Build lakehouse and data platform solutions for Banking and Financial Services
Optimize Spark workloads, Delta tables and pipeline performance
Tieto Tech Consulting provides design-led, data-centric, and AI-powered digital engineering and consulting services to enterprises worldwide. We are part of Tieto, backed by 8,500+ IT professionals, with a Bulgarian team of over 500 specialists.
Design and implement scalable, high-performing data pipelines and optimize data architecture.
Build and deploy cloud-native solutions using Azure Data Services, Databricks, and other Big Data technologies.
Collaborate across teams to support data needs and ensure architecture supports ongoing and future initiatives.
Redcare Pharmacy is Europe's No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. The company fosters a healthy collaborative work environment where every employee feels valued and inspired to contribute to the vision 'Until every human has their health'.
Design and build scalable cloud-based data platforms and pipelines in AWS or Azure/Fabric with Databricks.
Enable data pipelines for AI, GenAI, and analytics, including batch and streaming processing.
Collaborate with data scientists and business teams to shape requirements and deliver production-grade data solutions.
Valtech is an experience innovation company that helps brands unlock new value through data, AI, creativity, and technology. They foster a values-driven culture with an emphasis on inclusion, diversity, and professional growth.
Architect scalable data solutions using Databricks, Azure Fabric, PySpark, and SQL.
Build and automate end-to-end data pipelines with Azure Data Factory and CI/CD practices.
Mentor junior engineers and partner with stakeholders to align data engineering with business objectives.
Alimentiv is a healthcare technology and clinical research organization supporting gastrointestinal clinical trials and data-driven innovation. It operates with a collaborative global team and a focus on quality, compliance, and technical excellence.
Design and build data and analytics solutions using Microsoft Azure and Microsoft Fabric.
Develop data pipelines and integration processes using Azure Data Factory, Azure Databricks, Synapse Analytics, Fabric, and related technologies.
Work with project teams and clients to understand requirements and deliver effective solutions.
Quisitive is a global Microsoft partner specializing in cloud transformation, data strategy, cybersecurity, and AI. It has grown significantly since 2016, with teams in the US, Canada, and India and a culture based on craftsmanship and collaboration.
Design scalable cloud-native data architectures on Databricks or MS Fabric.
Implement data models, schemas, and storage patterns like lakehouse, Delta, and Parquet.
Collaborate with data architects, analysts, and business stakeholders to ensure data-driven decision making.
Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, provides comprehensive IT and telecommunications services with over 5,300 employees. The company has won awards for educational cooperation and ethical business practices, and it continuously develops its locations in Budapest, Debrecen, Pécs, and Szeged.
Design, develop, and evolve scalable data solutions within cloud environments using Databricks.
Build and optimize data pipelines for large-scale processing with Python, PySpark/Spark, SQL, and Delta Lake.
Apply best practices in data governance, performance, and orchestration while working autonomously with data teams.
The hiring company specializes in data engineering and cloud-based solutions, using Databricks and modern data technologies to build scalable data platforms. It fosters a collaborative culture with continuous learning, innovation, and autonomy for its employees.
Design and implement modern data platforms using Microsoft Fabric and Databricks, including lakehouse architectures and ELT/ETL pipelines.
Develop and maintain semantic models for performant reporting and self-service analytics, partnering with business teams.
Collaborate with clients and cross-functional teams to translate business requirements into scalable technical solutions.
Collectiv is a boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. Their culture emphasizes growth mindset, humility, active communication, and a focus on helping enterprises make better decisions.
Design, build, and maintain end-to-end ETL/ELT pipelines across cloud, on-prem, and hybrid environments.
Integrate SQL Server, APIs, SaaS apps, and file sources while ensuring data quality, validation, and reconciliation.
Model data for analytics and Power BI, supporting enterprise reporting with secure, documented, business-ready datasets.
Climate First Bank is a Florida Benefit Corporation and FDIC-insured commercial bank offering sustainable banking and lending solutions. It is a Certified B Corporation with a mission-driven, people-first culture dedicated to using finance as a force for good.
Lead high-impact, company-wide data initiatives and mentor junior engineers to foster technical excellence.
Design and architect scalable data solutions, including ELT/ETL pipelines and optimized data models.
Ensure data quality and platform stability through rigorous frameworks and on-call support.
Atlassian is a software company that creates collaboration tools like Jira and Confluence to help teams work together. With a global workforce and a culture centered on teamwork and flexibility, Atlassian empowers employees to do their best work.
Design and implement scalable Lakehouse and Delta Lake architectures across cloud and multi-cloud environments.
Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Unity Catalog for governance.
Advise clients on Databricks best practices and support platform modernization and migration projects.
Devoteam is a tech consulting company that helps organizations modernize data architectures and accelerate digital transformation using the Databricks Data Intelligence Platform. As a large global company with thousands of employees, we foster a collaborative culture focused on innovation, autonomy, and customer success.
Design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data integration processes for enterprise reporting and analytics.
Build and optimize data transformation solutions using Python and SQL, integrating data from multiple sources while ensuring quality, lineage, and reliability.
Support cloud-based data solutions on Azure and contribute to platform modernization initiatives including Microsoft Fabric and Lakehouse architectures.
Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with major healthcare, life sciences, financial services, and government organizations worldwide, and we foster an innovative, dynamic team.
Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric and Databricks.
Build reliable ETL/ELT processes for structured and unstructured data and ensure production-ready integration solutions.
Collaborate with business stakeholders to translate data requirements into technical solutions and take end-to-end ownership.
This company is a technology organization seeking a Senior Data Engineer to build scalable data pipelines on Azure and Databricks. It offers a fully remote, collaborative environment with global stakeholders and a focus on engineering ownership.
Lead the design and implementation of scalable data architectures for member communications, defining data models, contracts, and lineage.
Build and optimize production-grade data pipelines using Databricks, Apache Spark, PySpark, and SQL, ensuring reliability and performance.
Establish data-quality and governance practices, and partner with Privacy, Compliance, and Risk teams to manage sensitive member data securely.
Oportun is a mission-driven financial services company that provides responsible credit and savings to help members build a better financial future. Since inception, it has provided over $22.7 billion in credit and saved members more than $2.5 billion in interest and fees, reflecting a culture focused on impact and innovation.
Support client engagements as a project team member, translating business and technical requirements into data solutions.
Develop data pipelines and ETL/ELT processes on Snowflake, Databricks, AWS, and Azure for modern data platforms.
Contribute to code reviews, testing, documentation, and data governance while building consulting skills.
We help organizations unlock the full value of their data, turning complexity into clarity and measurable outcomes. FormativGroup is a collaborative team of specialists enabling middle-market companies to take full advantage of technology investments across cloud, AI, and data strategy.
Lead migration of the data platform to a modern Databricks lakehouse built on dbt, replacing legacy systems.
Build ELT pipelines with Databricks, dbt, and Fivetran to deliver curated, AI-ready datasets.
Mentor engineers, set technical standards, and partner with data science and AI teams.
Buildertrend is a leading residential construction management platform that helps contractors control financials, schedules, workflows, and client relationships in one system. With nearly two decades of industry expertise, the company fosters a culture of work-life balance and personal growth.
Design and build Databricks lakehouse pipelines using PySpark, Spark SQL, and Delta Lake.
Collaborate with frontend, architecture, and clinical teams on APIs and data ingestion.
Ensure GxP, 21 CFR Part 11, HIPAA, and GDPR compliance while optimizing Spark and Delta Lake.
Muttdata builds innovative Data Products and Machine Learning solutions for complex business challenges. They are a fast-growing, remote-first startup with a collaborative, ownership-driven culture that values continuous learning.
Design end-to-end data pipelines to collect, process, transform, and load data into cloud environments.
Lead and mentor a team of data engineers while collaborating with client stakeholders on data requirements.
Build and optimize ETL processes to ensure data quality, integrity, and actionable insights.
Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers who love solving hard problems. They believe the right data can transform and propel growth for any organization.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using cloud-native technologies.
Support implementation of modern data platforms, data lakes, and warehouses, while ensuring data quality and performance.
Collaborate with cross-functional teams and clients to translate business needs into technical data solutions.
FormativGroup operates within the critical middle layer of business technology, connecting applications and systems to infrastructure and business processes. They are experts helping the middle market with cloud architecture, system integration, AI, and data strategy, and are growing with a collaborative culture.