126 to 150 of 742 Remote Databricks Jobs

basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to More ❯

basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to More ❯

basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to More ❯

basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to More ❯

basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to More ❯

basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to More ❯

delivery pipelines if the solution is to adopt modern DevOps processes. What does it take to be an Enterprise Data Engineer? Previous strong experience in data engineering ideally using Databricks, Azure Data Factory, Spark, Python, SQL, PowerBI Strong data engineering experience atleast 3-5 years Dimensional data modelling Experience in delivering end to end BI solution from requirements, design to More ❯

basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write clean, efficient, and reusable Python code tailored to More ❯

they work with Spark, to deliver critical data science and analytical capabilities in big data platforms. High proficiency in analysing big data with cloud services (e.g. Microsoft Azure Services, Databricks). Expertise in product ownership to develop high quality analytical products and big data platform capabilities. Experience of software development best practices, including unit testing and CI/CD processes. More ❯

Technologies: Data Engineer ETL SQL Power BI Azure Data Warehouse We have an exciting Hybrid working opportunity for a Data Engineer to join our clients growing Data team, playing a key role in surfacing data within their fast-growing Finance More ❯

Job Description My client, based in the London area, is currently looking to recruit an experienced AWS Databricks Data Architect to join their team. They are a leader within the consulting space and are experiencing growth, backed by a large multi-equity firm aiming to strengthen their financial position. The company anticipates year-on-year growth, enabling them to adopt … cutting-edge technologies available, including recent implementations of Gen AI. Your role will include: Designing and implementing effective architectural solutions around AWS serverless technologies (S3, Lambda, Athena, Kafka) and Databricks, including Data Lake and Data Warehousing. Assessing database implementation procedures to ensure GDPR and data compliance. Guiding and influencing technology teams and stakeholders on solution options, benefits, and drawbacks. Setting … technologies (AWS and Azure). The ideal candidate will have: Extensive coding experience, data pipeline development, and digital transformation expertise. Proven experience implementing solutions in AWS cloud environments (S3, Databricks, Athena, Glue). Deep understanding of workflows, asset bundles, SQS, EKS, Terraform. Strong knowledge of data modeling and Kinesis. Understanding of SQL and database management. Hands-on experience with Data More ❯

team based in Leeds, working mostly remotely with just one day on-site per week. You ll lead the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL, while mentoring a team and driving engineering best practices. About You You might currently be a Senior Data Engineer ready to grow your leadership skills. You re … passionate about building robust, efficient data pipelines and shaping cloud data architecture in an agile environment. Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver … as code Mentor and support your team, taking ownership of technical delivery and decisions Drive continuous improvements in platform performance, cost, and reliability Key Requirements Hands-on experience with Databricks or similar data engineering platforms Strong Python and SQL skills in data engineering contexts Expertise in data modelling and building analytics-ready datasets Experience with AWS or Azure cloud data More ❯

team based in Leeds, working mostly remotely with just one day on-site per week. You'll lead the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL, while mentoring a team and driving engineering best practices. About You You might currently be a Senior Data Engineer ready to grow your leadership skills. You're … passionate about building robust, efficient data pipelines and shaping cloud data architecture in an agile environment. Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver … as code Mentor and support your team, taking ownership of technical delivery and decisions Drive continuous improvements in platform performance, cost, and reliability Key Requirements Hands-on experience with Databricks or similar data engineering platforms Strong Python and SQL skills in data engineering contexts Expertise in data modelling and building analytics-ready datasets Experience with AWS or Azure cloud data More ❯

team based in Leeds, working mostly remotely with just one day on-site per week. You'll lead the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL, while mentoring a team and driving engineering best practices. About You You might currently be a Senior Data Engineer ready to grow your leadership skills. You're … passionate about building robust, efficient data pipelines and shaping cloud data architecture in an agile environment. Key Responsibilities Lead development of data pipelines and solutions using Databricks, Python, and SQL Design and maintain data models supporting analytics and business intelligence Build and optimise ELT/ETL processes on AWS or Azure Collaborate closely with analysts, architects, and stakeholders to deliver … as code Mentor and support your team, taking ownership of technical delivery and decisions Drive continuous improvements in platform performance, cost, and reliability Key Requirements Hands-on experience with Databricks or similar data engineering platforms Strong Python and SQL skills in data engineering contexts Expertise in data modelling and building analytics-ready datasets Experience with AWS or Azure cloud data More ❯

communication and collaboration skills within their agile team are essential. Requirements: Experience orchestrating data pipelines with Azure Data Factory (ADF) Proficiency managing API data ingestion and orchestration using Azure Databricks Working with Azure Data Lake (ADL) Storage, on-prem SQL, and Python Vast Azure data engineering experience Proficient in ADF, Databricks, ADL, SQL, Python Desirable: Exposure to D365 or similar More ❯

communication and collaboration skills within their agile team are essential. Requirements: Experience orchestrating data pipelines with Azure Data Factory (ADF) Proficiency managing API data ingestion and orchestration using Azure Databricks Working with Azure Data Lake (ADL) Storage, on-prem SQL, and Python Vast Azure data engineering experience Proficient in ADF, Databricks, ADL, SQL, Python Desirable: Exposure to D365 or similar More ❯

communication and collaboration skills within their agile team are essential. Requirements: Experience orchestrating data pipelines with Azure Data Factory (ADF) Proficiency managing API data ingestion and orchestration using Azure Databricks Working with Azure Data Lake (ADL) Storage, on-prem SQL, and Python Vast Azure data engineering experience Proficient in ADF, Databricks, ADL, SQL, Python Desirable: Exposure to D365 or similar More ❯

implementation of customers modern data platforms. The ideal candidate will have extensive experience migrating traditional data warehouse technologies, including Teradata, Oracle, BW, Hadoop to modern cloud data platforms like Databricks, Snowflake, Redshift, Bigquery, or Microsoft fabric. You will be responsible for leading data platform migrations and the design and development of scalable data solutions that support our organization's strategic … and big data platforms. Establish best practices and standards for data modeling, integration, and management. Platform Design and Implementation: Architect, design, and implement data warehouse solutions using platforms like Databricks, Redshift, BigQuery, Synapse, and Snowflake. Develop scalable big data solutions using cloud data technologies and services. Ensure the data architecture supports data quality, security, and governance requirements. Technology Leadership: Evaluate … data architecture, data warehousing, and big data solutions. 5+ years of experience working in Cloud AWS, GCP or Azure. 5+ years of experience working in modern cloud data platforms (Databricks, Redshift, BigQuery, Synapse, SAP Datasphere, and Snowflake.) 5+ years of experience designing Cloud Infrastructure on AWS, GCP or Azure. Extensive experience with data warehouse platforms such as Teradata Oracle, SAP More ❯

processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and … and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform More ❯

days in office, 3 from home) Pension contribution Great opportunities for career progression And many more Role & Responsibilities Design and deliver solutions using MS Fabric, ADF, ADL, Synapse, Databricks, SQL, and Python. Work closely with a variety of clients to gather requirements and deliver solutions. Be willing to engage and assist in pre-sales activities, bids, proposals etc. Use key … in building out, developing, and training the data engineering function. What do I need to apply Strong MS data engineering expertise (Fabric, ADF, ADL, Synapse, SQL) Expert use of Databricks Strong Python experience Consultancy experience Leadership experience My client are looking to book in first stage interviews for next week and slots are already filling up fast. I have limited More ❯

You will shape and deliver advanced analytics, and visual insights that influence decisions at every level of the organisation. You’ll be working in a hybrid cloud environment (Azure, Databricks), applying your skills to real challenges in areas like customer behaviour, operations, and digital journeys. You will also mentor and manage a team of talented data professionals, helping to grow … a fast-paced, dynamic, and sometimes ambiguous work environment. Proven experience in data science, advanced analytics, or data engineering, with a track record of delivering measurable outcomes. Proficiency in Databricks, Azure, SQL , and data visualisation using open source libraries. Excellent communication skills — able to simplify technical concepts for varied audiences. Strong problem-solving skills and a focus on value creation … forward-thinking data team using modern tools in a cloud-native environment We offer a flexible hybrid working with a supportive, inclusive culture We use leading Tools & tech: Azure, Databricks, Power BI, Python — and are continuously evolving We offer an attractive benefits package: Competitive salary, car allowance, and performance related bonus Competitive Stakeholder Pension Plan 15% Asda Colleague Discount Free More ❯

pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. … tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves More ❯

Do: Design and implement benchmarking methodologies using data from hundreds of care homes across clinical and operational metrics Build scalable data science workflows using Azure Data Factory, Synapse Analytics, Databricks, and other Microsoft Azure services Lead end-to-end development of predictive models (e.g., fall prediction, infection prevention) using Azure Machine Learning Collaborate with developers and product managers to embed … ML) and SQL (for data manipulation) Deep expertise in supervised and unsupervised ML techniques, benchmarking design, and statistical analysis Strong experience with Microsoft Azure stack: AML, Data Factory, Synapse, Databricks, Blob Storage/Data Lake Familiarity with Power BI for report automation and data insight delivery Knowledge of model explainability tools (e.g., SHAP, LIME) and responsible AI practices Git proficiency More ❯

pipelines and infrastructure, who can implement processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. … tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average service provider. Our colleagues bring their brilliant selves More ❯

Do: Design and implement benchmarking methodologies using data from hundreds of care homes across clinical and operational metrics Build scalable data science workflows using Azure Data Factory, Synapse Analytics, Databricks, and other Microsoft Azure services Lead end-to-end development of predictive models (e.g., fall prediction, infection prevention) using Azure Machine Learning Collaborate with developers and product managers to embed … ML) and SQL (for data manipulation) Deep expertise in supervised and unsupervised ML techniques, benchmarking design, and statistical analysis Strong experience with Microsoft Azure stack: AML, Data Factory, Synapse, Databricks, Blob Storage/Data Lake Familiarity with Power BI for report automation and data insight delivery Knowledge of model explainability tools (e.g., SHAP, LIME) and responsible AI practices Git proficiency More ❯