cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯
cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯
cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯
cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯
cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯
cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯
cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯
swindon, wiltshire, south west england, United Kingdom
SoftServe
cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯
south west london, south east england, United Kingdom
SoftServe
cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯
salisbury, south west england, United Kingdom Hybrid / WFH Options
Ascentia Partners
encryption best practices. Nice-to-Have Skills Exposure to AWS Redshift, Glue, or Snowflake. Familiarity with BigQuery and Google Analytics APIs. Proficiency in Python, PySpark, or dbt for data transformations. Background in insurance, especially in pricing analytics or actuarial data. Click Apply More ❯
swindon, wiltshire, south west england, United Kingdom Hybrid / WFH Options
Ascentia Partners
encryption best practices. Nice-to-Have Skills Exposure to AWS Redshift, Glue, or Snowflake. Familiarity with BigQuery and Google Analytics APIs. Proficiency in Python, PySpark, or dbt for data transformations. Background in insurance, especially in pricing analytics or actuarial data. Click Apply More ❯
and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯
and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯
and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯
and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯
and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯
and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯
and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯
south west london, south east england, United Kingdom
Agile
and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯
swindon, wiltshire, south west england, United Kingdom
Agile
and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯
somerset, south west england, United Kingdom Hybrid / WFH Options
CA Tech Talent
initiatives Key Requirements of the Database Engineer: Proven experience with Databricks, Azure Data Lake, and Delta Live Tables Strong programming in Python and Spark (PySpark or Scala) Solid knowledge of data modelling, warehousing, and integration concepts Comfortable working in Agile teams, with CI/CD and Azure DevOps experience More ❯
bath, south west england, United Kingdom Hybrid / WFH Options
CA Tech Talent
initiatives Key Requirements of the Database Engineer: Proven experience with Databricks, Azure Data Lake, and Delta Live Tables Strong programming in Python and Spark (PySpark or Scala) Solid knowledge of data modelling, warehousing, and integration concepts Comfortable working in Agile teams, with CI/CD and Azure DevOps experience More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Snap Analytics
cloud-based architectures on AWS, Azure, or GCP A strong background in Databricks for building enterprise data warehouses with strong knowledge of SQL and Pyspark A deep understanding of data modelling and advanced pipeline development Knowledge and understanding of best practice CI/CD approaches utilising Git. Strategic Vision More ❯
SSMS Data warehousing, ETL processes, best practice data management Azure cloud technologies (Synapse, Databricks, Data Factory, Power BI) Microsoft Fabric (not essential) Python/PySpark Proven ability to work in hybrid data environments Experience in finance or working with finance teams Ability to manage and lead on and offshore More ❯
ready for deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code Nice to Have More ❯
