26 to 50 of 551 Remote/Hybrid Databricks Jobs

GitLab Knowledge of: Knowledge of DevOps, automation and modern engineering practices Platform engineering Site Reliability Engineering principles Data & Analytics Experience with technologies such as: Databricks Microsoft Fabric Azure Data Factory Synapse Analytics Snowflake BigQuery Redshift Kafka Apache Spark Knowledge of: Data modelling Data governance Data integration Data migration Data warehousing ...

strong track record of delivering modern cloud-based data platforms and possess expertise across data engineering, architecture, governance and analytics. Experience with Microsoft Azure, Databricks, SQL and Python is essential, alongside a strong understanding of data warehousing, data modelling and information lifecycle management. You will be equally comfortable discussing strategy ...

data processing languages (Python, SQL, PySpark) and an open-minded approach to tech stacks—ranging from SSIS and stored procedures to Airflow, Spark, Databricks, or Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) alongside a curiosity to learn and adapt to others. ...

with SQL, Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue, Azure Data Factory, dbt, etc.). 3+ years of experience deploying code using a source control product like GitLab or GitHub. Proven experience ...

operational workloads,AIand emerging usecases. You may work with technologies and architectural approaches including, butnotlimited to: Cloud platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta ...

Extensive experience in Enterprise Data Architecture or a similar strategic data leadership role. Strong background designing enterprise-scale cloud data platforms. Experience with Azure, Databricks and modern data architecture principles. Strong understanding of data modelling, governance and data quality frameworks. Experience delivering large-scale data transformation initiatives. Knowledge of technologies ...

Computer Science, Data/Software Engineering or a similar subject, with a strong foundation in core database systems and data structures. Proficiency in Databricks and big data coding languages, including SQL, Python and Scala. Experience designing and deploying ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics ...

Computer Science, Data/Software Engineering or a similar subject, with a strong foundation in core database systems and data structures. Proficiency in Databricks and big data coding languages, including SQL, Python and Scala. Experience designing and deploying ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics ...

Database/SQL Server Microsoft Power BI Tabular Models T-SQL PowerShell Azure Cloud Services Experience with the following would be advantageous: Synapse Analytics Databricks Python Master Data Management (MDM) About You We're looking for someone who combines strong technical expertise with excellent stakeholder engagement skills. You will have ...

Database/SQL Server Microsoft Power BI Tabular Models T-SQL PowerShell Azure Cloud Services Experience with the following would be advantageous: Synapse Analytics Databricks Python Master Data Management (MDM) About You We're looking for someone who combines strong technical expertise with excellent stakeholder engagement skills. You will have ...

teams Excellent communication skills with both technical and non-technical stakeholders Ability to work independently while driving complex technical initiatives Desired Skills: Hands-on Databricks experience including notebooks, workflows, and cluster management Experience with AWS services including S3, Lambda, Glue, Step Functions, SQS, IAM, and CloudWatch Experience with AI-enabled ...

focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We ...

Scrum development methodologies. Knowledge of data warehousing using MS SQL Server Tools. Experience with MS Azure technologies such as Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, Azure Data Lake Storage etc. Knowledge of data modelling, architectural principles and big data tools. Experience in diagnosing and troubleshooting complex data engineering ...

DevOps tools. Background in business or financial data analysis is a plus. Consulting mindset: proactive, strategic, and impact‐oriented. Nice to Have Experience with Databricks, Azure Data Factory, or Python. Previous experience in BI service delivery or engagement management. Why Join Us? Dedicated time for learning, paid certifications: We encourage ...

text or conversational data. Experience with data visualisation tools such as Power BI or Tableau. Experience with modern cloud data environments; Microsoft Azure and Databricks would be advantageous. Strong stakeholder and communication skills, including the ability to explain complex analysis to non-technical audiences. Experience within insurance, financial services, regulated ...

experience working with SQL Server Strong experience working with Azure Data Factory and Azure DevOps Hands-on experience with data lake platforms, Azure Synapse, Databricks, or equivalent experience/skills Experience with tooling such as CI/CD pipelines and version control The ability to lead feature specifications and working ...

various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging Data & AI: Understanding ...

guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data pipelines in a cloud environment and integrate ...

will have a genuine passion for building scalable, resilient cloud data platforms alongside the following technical expertise: Platform Experience: Strong, hands-on experience with Databricks or Snowflake on AWS. Programming & Orchestration: Proven Python skills, including deep expertise in PySpark (or Spark) and Airflow. Data Modelling: Advanced SQL skills and extensive ...

Technical Skills: Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka ...

Information Architecture. Data Modelling. Data Governance. Metadata Management. Master Data Management. Data Quality. Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures Architecture & Modelling TOGAF; DAMA; ArchiMate ...

such as Salesforce Data Cloud, Adobe Experience Platform, or equivalent (desirable). Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable). Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable). Confidence using ...

such as Salesforce Data Cloud, Adobe Experience Platform, or equivalent (desirable). Familiarity with cloud-based data warehouses or data lakes such as Snowflake, Databricks, or Google BigQuery (desirable). Understanding of marketing measurement methodologies such as Marketing Mix Modelling (MMM) or Multi-Touch Attribution (MTA) (desirable). Confidence using ...

data pipelines. Strong understanding of data modeling. Familiarity with data governance, lineage, and quality frameworks. Fluency with AI tools and ADLC Working knowledge of Databricks Experience with Apache Spark Preferred: Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, MSK). Proficient in CI/CD pipelines, automated ...

experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker ...