17 open jobs on The Stack list Databricks as a key skill. They come from 15 companies in 5 countries, and 17 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Databricks in its key skills. We do not guess skills from the job title.
What you'll do: Shape the architecture of data products for analytics and data science, focusing on forecasting, feature engineering, and data source integration. Build reusable data pipelines, collaborate with data scientists and ML engineers to refine…
What they ask for: Expert in batch and near-real-time streaming data processing with Kafka, Flink and Spark; cloud-based AWS experience; proficient in Python and SQL; strong data warehousing (Redshift/PostgreSQL) and NoSQL skills; solid DevOps/CI-CD…
What you'll do: Lead the design, build, and governance of reusable data models and data architectures, and develop complex data pipelines (ETL/ELT). Design and optimize data lakes and data warehouses and operationalize analytics into production-ready…
What they ask for: Bachelor's or Master's degree in a technical field such as Data Science, Computer Science or Engineering; at least 5 years of experience as a Data Engineer or senior data/engineering role in a consulting or advisory capacity. Fluency in…
What you'll do: Shaping the architecture of data products for analytics and data science, building reusable data pipelines, and collaborating with data scientists to refine data requirements and ensure data quality and governance.
What they ask for: Expert in batch and near real-time streaming data processing (Kafka, Spark); cloud-based big data platform experience (AWS); proficient in Python and SQL (Redshift/PostgreSQL) plus NoSQL; strong DevOps/CI/CD and infrastructure as code…
What you'll do: Design, build and maintain high-quality, reliable data solutions in the cloud and drive automation. Provide technical leadership to a small squad of engineers and lead in the development of standard data frameworks and policies. Design…
What they ask for: Demonstrable leadership mentality and business acumen; expert in cloud-based data technologies (preferably Azure); strong experience designing end-to-end data solutions and working with ETL tools such as Databricks, SQL, and Python/Spark.
What you'll do: Design and implement scalable ETL/ELT data pipelines and Lakehouse architectures on Databricks, integrating batch and streaming sources. Optimize data models (Delta Lake, medallion architecture), enable governed data products, and…
What they ask for: Minimum 5–8 years in data engineering or data architecture with at least 3+ years on Databricks, a university degree, strong SQL and Python skills, and hands-on experience with cloud platforms (AWS/Azure/GCP). Familiarity with Databricks…
What you'll do: Apply data science, machine learning and AI techniques to transform complex datasets into actionable insights and predictive models; develop, evaluate and operationalise analytical models and AI-driven solutions; collaborate with…
What they ask for: Experience applying data science, AI or advanced analytics to real-world problems, strong analytical and communication skills, and ability to work in multidisciplinary teams. Candidates must be able to obtain and maintain (or already hold)…
What you'll do: Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions; develop natural language interfaces to data using GenAI/LLM techniques; ensure data quality, observability and production support through…
What they ask for: Bachelor's degree or equivalent and 8+ years building high-performance, large-scale distributed systems with emphasis on streaming and data pipelines. Strong expertise in SQL, data modeling/warehousing…
What you'll do: You will be responsible for maintaining and improving product reporting while ensuring data accuracy across internal and external teams. Additionally, you will automate data processes and provide actionable insights to support commercial…
What they ask for: The role requires proficiency in SQL, Python, and Git, along with experience in data warehousing platforms like Databricks or Azure. Candidates should possess strong communication skills, a proactive attitude, and the ability to manage…
What you'll do: You will develop full-stack geospatial services and data pipelines to support AI driver training and navigation. This involves collaborating with internal teams to build scalable infrastructure and maintaining services on Azure and…
What they ask for: You should be a strong Python engineer with experience in large-scale data pipelines using Spark or PySpark. Proficiency in cloud infrastructure, container orchestration, and SQL is required, with experience in geospatial data processing…
What you'll do: You will lead and develop teams of data engineers to design and deliver scalable data solutions for complex business challenges. You will also provide technical direction for data pipelines and infrastructure while collaborating with…
What they ask for: The role requires at least 4 years of data engineering experience and proven leadership capabilities in complex environments. Candidates must possess strong Python skills, experience with Apache Spark, and proficiency in cloud-based data…
What you'll do: You will design and develop creative analytics frameworks and bidding signal optimization models to improve marketing ROI. You will collaborate with cross-functional teams to define success metrics and implement data-driven solutions for…
What they ask for: The role requires proficiency in Python, SQL, and distributed frameworks like Spark, along with experience in marketing or attribution data. Candidates should possess strong skills in advanced modeling, causal inference, and experiment…
What you'll do: You will design and build an ELT platform that supports data pipelines and data products while establishing engineering best practices. You will also collaborate with cross-functional teams to ensure data trustworthiness, scalability, and…
What they ask for: The role requires strong experience in data engineering, specifically with Azure and Databricks, alongside proficiency in Python and SQL. Candidates must demonstrate solid software engineering practices, including version control…
What you'll do: You will be responsible for the architecture, development, and quality of the department's data products. This includes designing scalable ELT pipelines, implementing data governance, and collaborating with cross-functional teams to ensure…
What they ask for: The ideal candidate has extensive experience with the Databricks ecosystem, Apache Spark, and building scalable data pipelines. You should also possess strong skills in cloud infrastructure, data modeling, and effective communication in…
What you'll do: You will design and maintain the central data platform architecture, ensuring reliable pipelines and reproducible environments for all product teams. This involves building infrastructure-as-code, implementing data quality checks, and…
What they ask for: The role requires solid experience in data engineering, ELT, and cloud technologies like Databricks and Azure. Candidates must possess strong software engineering practices, including version control, automated testing, and a deep…
What you'll do: Design, build, and maintain reliable ETL/ELT pipelines using Spark and Databricks to support research workflows. Collaborate with cross-functional teams to define data engineering best practices and mentor junior engineers.
What they ask for: The role requires a seasoned Data Engineer with expertise in modern data stack tools like Spark and Delta Lake. Candidates should have a strong focus on scalability, performance tuning, and the ability to translate research workflows into…
What you'll do: Define, design, and govern enterprise-grade data architectures while leading the development of cloud-based data platforms. Act as a trusted technical partner to clients to shape data strategy and ensure architectural consistency across…
What they ask for: Requires extensive experience in defining large-scale data architectures and deep expertise in cloud-native platforms like Databricks and AWS. Candidates must possess strong knowledge of data modelling methodologies and a commitment to…
What you'll do: The incumbent will lead the migration of UNICEF's data warehouse from legacy platforms to a modern lakehouse architecture using Databricks. Key tasks include architecture design, data mapping, transformation development, and implementing…
What they ask for: Candidates must hold an advanced university degree in a relevant field or a first-level degree with two additional years of experience. A minimum of 5 years of professional experience in ICT, Databricks, and data analytics is required.
