SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETLand Streaming Tools (Flink, Spark) Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping) Ability to translate Data into meaningful insights Excellent More ❯
SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETLand Streaming Tools (Flink, Spark) Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping) Ability to translate Data into meaningful insights Excellent More ❯
SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETLand Streaming Tools (Flink, Spark) Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping) Ability to translate Data into meaningful insights Excellent More ❯
SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETLand Streaming Tools (Flink, Spark) Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping) Ability to translate Data into meaningful insights Excellent More ❯
and processing processes. Assist in creating project plans, identifying risks, and developing mitigation strategies. What does Leidos need from me? Experience configuring and using ETL platforms like SSIS, AWS, or Azure Data Factory. Experience setting up and managing AWS or Azure data platforms and analytics services, including Power BI or More ❯
years in a leadership role. Proven experience in managing large teams and complex data engineering projects. Strong knowledge of data architecture, data modeling, andETL/ELT processes. Proficiency in programming languages such as Python, Java, or Scala. Experience with big data technologies such as Hadoop, Spark, and Kafka. Familiarity More ❯
discussions, including solution design, estimation, and proposal writing. Extensive experience in designing and implementing data pipelines, data lakes, and data warehouses. Strong knowledge of ETL processes, data modelling, and cloud-based solutions. Excellent stakeholder management and communication skills. Experience working with Azure Data Services, SQL, Python, and/or other More ❯
India, Japan, Australia, Brazil, Mexico, Singapore, Turkey and MENA. Minimum Requirements 4+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Bachelor's degree Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam Knowledge of distributed systems as it pertains to More ❯
process using industry best practices to help DSS maintain legal compliance. Basic Qualifications: 5+ years of experience working on mission critical data pipelines andETL systems. 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software More ❯
lives and breathes technology and is eager to grow with us. As a Data Engineer, you will: Design, build, and maintain data pipelines to extract, transform, andload (ETL) data from various sources into data warehouses and storage systems. Integration of data from diverse sources, including databases, APIs, flat files … What We're Looking For: Essential: A minimum of 3 years' hands-on fresh experience in any industry Proficiency in data engineering technologies, including ETL tools, data integration platforms, and data warehousing solutions. Strong SQL and NoSQL database expertise. Knowledge of data modelling, database design, and data warehousing. Proficiency in More ❯
a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETLand data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯
a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETLand data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯
a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETLand data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯
london (city of london), south east england, United Kingdom
Supporting Education Group
a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETLand data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯
london (city of london), south east england, united kingdom
Supporting Education Group
a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETLand data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯
plus Familiarity with AWS services such as Lambda, S3, Redshift, and Glue; Databricks experience is advantageous Experience designing and implementing scalable data platforms andETL/ELT pipelines Knowledge of data warehousing, data lake architectures, and orchestration tools like Step Functions and Airflow Experience with infrastructure as code (e.g., Terraform More ❯
an efficient, scalable data warehousing solution on AWS, utilizing appropriate NoSQL/SQL storage and database technologies for both structured and unstructured data. Automate ETL/ELT processes to streamline data integration from diverse sources, enhancing the platform's reliability and efficiency. Develop data models to support business intelligence, delivering More ❯
BI tools (e.g., Power BI, Tableau, Looker). Strong analytical and problem-solving skills, with a focus on cloud-based data solutions. Knowledge of ETL processes and cloud data integration (e.g., AWS Glue, Azure Data Factory). Excellent communication and teamwork abilities, especially in remote and distributed teams. More ❯
on role across data engineering, governance, and BI delivery, working with tools like Azure Synapse, Data Factory, Databricks, and Power BI. Strong SQL andETL skills are key, and experience working with Microsoft Dynamics 365 data would be a bonus. Essential skills: Azure (Data Factory, Synapse, SQL) Power BI SQL More ❯
on role across data engineering, governance, and BI delivery, working with tools like Azure Synapse, Data Factory, Databricks, and Power BI. Strong SQL andETL skills are key, and experience working with Microsoft Dynamics 365 data would be a bonus. Essential skills: Azure (Data Factory, Synapse, SQL) Power BI SQL More ❯
on role across data engineering, governance, and BI delivery, working with tools like Azure Synapse, Data Factory, Databricks, and Power BI. Strong SQL andETL skills are key, and experience working with Microsoft Dynamics 365 data would be a bonus. Essential skills: Azure (Data Factory, Synapse, SQL) Power BI SQL More ❯
Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data pipelines. Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) Strong trade lifecycle experience If you are More ❯
What You'll Do: Design and build scalable data solutions using AWS services (Redshift, Glue, S3, Step Functions). Lead the development of robust ETL/ELT workflows with AWS Glue and Python. Manage and mentor Data Engineers and Analysts across multiple projects. Collaborate with DevOps to maintain CI/ More ❯
Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data pipelines. Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) Strong trade lifecycle experience If you are More ❯
What You'll Do: Design and build scalable data solutions using AWS services (Redshift, Glue, S3, Step Functions). Lead the development of robust ETL/ELT workflows with AWS Glue and Python. Manage and mentor Data Engineers and Analysts across multiple projects. Collaborate with DevOps to maintain CI/ More ❯
