176 to 200 of 1,387 Permanent Databricks Jobs

Data Engineer, the minimum criteria you’ll need is practical experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse and Notebooks) or Databricks, working proficiency in Python, PySpark and SQL for data engineering, an understanding of data modelling, warehousing and ETL/ELT principles, working knowledge of Power BI and version … develop along the way. Exposure to migrating from Azure Data Factory and Azure Data Lake to Fabric Exposure to notebook-based platforms (Fabric/Databricks) Understanding of CI/CD pipelines for data solutions Exposure to preparing data for AI use, for example RAG, vector databases or MCP Exposure ...

into powerful insights that shape strategic decisions and drive business transformation. Utilise platforms and tools such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, and PowerBI to build robust, scalable, and future-proof end-to-end data solutions. Design and implement efficient ETL and ELT pipelines, ensuring seamless integration … principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ...

into powerful insights that shape strategic decisions and drive business transformation. Utilise platforms and tools such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, andPowerBIto build robust, scalable, and future-proof end-to-end data solutions. Design and implement efficient ETL and ELT pipelines, ensuring seamless integration and transformation … principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions:Youpossessexperience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or evenon-premiseSpark clusters, usingPySparkor Spark SQL to manage and process large datasets. Expertisein Building ETL and ELT Pipelines:You are skilled in building robust ...

into powerful insights that shape strategic decisions and drive business transformation. Utilise platforms and tools such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, andPowerBIto build robust, scalable, and future-proof end-to-end data solutions. Design and implement efficient ETL and ELT pipelines, ensuring seamless integration and transformation … principles and implementation of Data Lakehouse architecture. Hands-On Experience with Spark-Based Solutions:Youpossessexperience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or evenon-premiseSpark clusters, usingPySparkor Spark SQL to manage and process large datasets. Expertisein Building ETL and ELT Pipelines:You are skilled in building robust ...

looking for a Enterprise Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Manufacturing industry. Your mission will be to grow one of our most strategic Manufacturing customers. Reporting to the Director, Sales, as a Enterprise Account Executive … Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. The impact you will have ...

Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract … requirements into technical solutions Education Bachelor's degree or equivalent qualification in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field Databricks Data Engineer Associate certification or higher preferred Databricks Generative AI Engineer Associate certification preferred Responsibilities Design, build, and support scalable data, analytics, and artificial intelligence ...

platform firm to hire an experienced Data Engineer (Mid-Senior) to take end-to-end ownership of a modern data platform built on Azure Databricks, Kafka and with BI-layer. This person would be the primary Data Engineer, maintaining and further developing a well-established cloud and CI/… technical team collaborating closely with platform engineering, data science, and business stakeholders to further develop the synergy between the internal software platform and the Databricks data platform. This role will suits a hands-on Data engineer who is looking to work on interesting Tech, solve data problems, while being ...

will ingest, cleanse and model data for BI reporting, ML and AI, ensuring quality and governance. The role emphasizes strong Azure skills (ADF, ADLS, Databricks), PySpark, Python and SQL, with a DevOps and CI/CD mindset. Hybrid work with three days in the office weekly is offered. #J ...

support AI agent-driven data products. The ideal candidate has deep SQL skills (SQL Server/Azure SQL), strong Python (PySpark), and experience with Databricks, Synapse or Fabric, plus Power BI semantic modelling. A background in data security and Agile delivery is preferred. #J-18808-Ljbffr ...

data-driven decisions. The role requires deep SQL/T-SQL on SQL Server/Azure SQL, strong Python (PySpark) capabilities, and experience with Databricks, Synapse or Microsoft Fabric, plus Power BI semantic modelling. #J-18808-Ljbffr ...

solutions, preferably Azure & Databricks. Knowledge of data governance, security, and master data management. Experience with relational and analytical data models. Desirable Skills Experience with Databricks, PostgreSQL, and Power BI. Knowledge of modern data mesh or data lakehouse architectures. #J-18808-Ljbffr ...

ecosystem, so experience designing and delivering cloud-based data solutions within Azure environments is highly desirable. Experience with Microsoft Fabric, Azure Data Factory, Synapse, Databricks or similar modern data platforms would be beneficial. Key Skills & Experience Strong Data Architecture and Solution Design experience Extensive experience designing and delivering Data Pipeline ...

Cloud data platform experience (AWS, Azure or GCP) and streaming/real-time data. Wider data product experience across platforms such as Apache Spark, Databricks and Snowflake. Exposure to AI/ML data pipelines and emerging agent interfaces such as MCP. Hands-on master data management delivery experience. Relevant cloud ...

cross-channel customer engagement. \n \n Integration experience across APIs, SQL, ETL/ELT, MuleSoft and event-driven architectures. \n \n Experience with Snowflake, Databricks, Azure, AWS or Google Cloud. \n \n Understanding of batch, streaming, near-Real Time and data federation architectures. \n \n Strong knowledge of security, data ...

cross-channel customer engagement. \n \n Integration experience across APIs, SQL, ETL/ELT, MuleSoft and event-driven architectures. \n \n Experience with Snowflake, Databricks, Azure, AWS or Google Cloud. \n \n Understanding of batch, streaming, near-Real Time and data federation architectures. \n \n Strong knowledge of security, data ...

marketing automation, personalisation and cross-channel customer engagement. Integration experience across APIs, SQL, ETL/ELT, MuleSoft and event-driven architectures. Experience with Snowflake, Databricks, Azure, AWS or Google Cloud. Understanding of batch, streaming, near-real-time and data federation architectures. Strong knowledge of security, data protection, privacy and consent ...

data ecosystemsStrong proficiency in ELT, data modeling, and data integrationSkilled in data manipulation, processing, and orchestration frameworksHands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTestProficiency with GitHub, GitHub Actions, and Azure DevOpsStrong communication and collaboration skills to align technical ...

required Strong SQL skills with relational and NoSQL databases Demonstrated experience with data pipeline and ETL tools (e.g. Azure Data Factory, Azure Logic Apps, Databricks, API's) Understanding of different data environments (Data Lakes, Synapse, Delta Lakes) Proficiency in programming languages such as Python, Java, or Scala Sound knowledge ...

team best practices. Develop proficiency in Azure cloud technologies through hands-on project work. Technical Stack Core: SQL Server Development: Git ETL concepts Databricks basics Cloud certifications (AZ-900, DP-900) What You'll Bring: A degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline. Basic ...

large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts in an enterprise environment #J ...

make an impact You are a hands-on Data Engineer with demonstrable experience delivering data solutions using Databricks or Snowflake, alongside AWS and/or Azure cloud platforms. You will have experience delivering new data lake patterns or helping to transform existing data lake environments, with a strong understanding ...

consultant to the business: you understand how a process works, propose solutions and frame them in terms of business value Nice to Have Databricks and Unity Catalog Hands-on experience with, or a solid understanding of, MCP, tool calling, tracing and evals for LLM applications and agents Workflow automation tools ...

will work across the following: Building and operating cloud data and platform solutions across modern cloud and data platforms including Azure, AWS, GCP, Databricks, Microsoft Fabric and Snowflake Developing and maintaining scalable batch and streaming data pipelines, applying ETL/ELT patterns to ingest, validate, normalise, cleanse and transform data ...

Have significant hands‐on experience with a modern cloud data platform such as Microsoft Fabric (our current client’s platform), Databricks, Snowflake, or Synapse, including designing and operating production data pipelines - the platform is the wrapper, not the skill, and someone strong on one will pick up another quickly Have ...

between clients, for example Azure for one and GCP for the next. Cloud: AWS, GCP, Azure Ingestion: Fivetran, Airbyte, ... Warehouse and lakehouse: Snowflake, Databricks, BigQuery, Microsoft Fabric Transformation: dbt Orchestration: Airflow, Dagster, Prefect, ... BI and semantic layers: Power BI, Looker, Tableau, ... Activation and CDPs: Hightouch, Census, Segment ...