151 to 175 of 460 Remote/Hybrid ETL Jobs

security and configuration services (AKS experience is beneficial) Integrate and optimize data processing frameworks with Spark, Databricks, or Cloudera platform (Hue, Hive, HDFS) Support ETL pipelines built for master data management, customer profiles, and consent management workflows Ensure environments are stable, secure, and optimized for high-volume data flows across ...

holiday entitlement, Health and wellbeing programme, health cash plans + dozens more. Potential bonus Experience: Microsoft Power Platform (Power Automate and PowerApps) Data Modelling ETL processes Experience with Reporting tools like Power BI, SSRS etc SQL Server Desirable tech Azure, .NET, GIT, Azure DevOps Effectively, this role is responsible ...

holiday entitlement, Health and wellbeing programme, health cash plans + dozens more. Potential bonus Experience: Microsoft Power Platform (Power Automate and PowerApps) Data Modelling ETL processes Experience with Reporting tools like Power BI, SSRS etc SQL Server Desirable tech Azure, .NET, GIT, Azure DevOps Effectively, this role is responsible ...

holiday entitlement, Health and wellbeing programme, health cash plans + dozens more. Potential bonus Experience: Microsoft Power Platform (Power Automate and PowerApps) Data Modelling ETL processes Experience with Reporting tools like Power BI, SSRS etc SQL Server Desirable tech Azure, .NET, GIT, Azure DevOps Effectively, this role is responsible ...

deployment scenarios. Essential Skills and Experience Strong Python skills for scripting and automating data processes across varied environments. Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on‐premises and Azure) environments. Practical experience with Azure Data Factory in environments. Proven ability in managing and deploying ...

Experience with Snowflake or similar cloud data platforms is essential Familiarity with Medallion architecture, including bronze, silver, and gold data layers Understanding of SQL, ETL/ELT processes, data pipelines, and cloud data warehouse concepts Pharmaceutical experience is highly desirable Experience documenting data flows, tables, views, stages, lineage, and data ...

Need Essential: Strong expertise in data modelling, database design and architecting conceptual, logical and physical models Hands-on experience building and optimising ETL and ELT pipelines at scale Deep practical knowledge of AWS data services including Redshift, Glue, EMR, Kinesis and S3 Experience with modern data engineering tools such ...

engineering and strong communication skills that allow you to work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message ...

engineering and strong communication skills that allow you to work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message ...

engineering and strong communication skills that allow you to work effectively in a collaborative, cross-functional team. Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message ...

Stack: Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog, Grafana Dashboarding: Preset Other: Claude WHAT WE’RE LOOKING FOR Strong ...

solutions effectively within the project team and across stakeholders and end-users; Mentor junior team members. Key accountabilities Experience with data platform, data workflow, ETL process, systems integration and APIs is a must-have. Solid knowledge on relational and non-relational data, structured and non-structured data is a must ...

candidates will be able to demonstrate:• Significant experience in leading the design, development and implementation of data, BI and analytics solutions, including data warehousing, ETL/ELT pipelines and enterprise reporting solutions• Strong technical expertise, including SQL and Python, and experience in coding, data processing and performance optimisation• Proven ability ...

candidates will be able to demonstrate:• Significant experience in leading the design, development and implementation of data, BI and analytics solutions, including data warehousing, ETL/ELT pipelines and enterprise reporting solutions• Strong technical expertise, including SQL and Python, and experience in coding, data processing and performance optimisation• Proven ability ...

years as a Data Engineer working on scalable data platforms, ideally in product‐led or high‐growth environments. Solid experience designing, building, and operating ETL/ELT pipelines and large‐scale data architectures. Hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg ...

and curation for large-scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka ABOUT GOLDMAN SACHS At Goldman Sachs, we commit ...

designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms ...

data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection A solid understanding of the ML lifecycle, from data through to model training ...

deploying to and reasoning about containerised workloads in a managed K8s environment. Experience orchestrating pipelines with Dagster, Airflow, Prefect, or similar. Solid grasp of ETL concepts and production‐grade pipeline design. Beneficial Skills Interest in chemistry, life sciences, robotics, or manufacturing. Hands‐on experience with scientific data, chemical, biological ...

data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection A solid understanding of the ML lifecycle, from data through to model training ...

data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processes at scale, including web scraping or automated data collection A solid understanding of the ML lifecycle, from data through to model training ...

Strong analytical and problem-solving skills, with a highly data-driven approach to decision-making, optimization, and troubleshooting Experience implementing and managing integrations, APIs, ETL workflows, and marketing data infrastructure Strong technical fluency with marketing automation platforms and customer engagement systems Comfortable collaborating with Engineering and Data teams on technical ...

Responsibilities Design, build and maintain Power BI reports and dashboards aligned to business requirements. Develop and maintain data warehouse/lakehouse assets and ETL/ELT pipelines. Work with stakeholders to gather requirements, define KPIs and translate business needs into technical specifications. Develop semantic models and measures using Power … with paginated reporting using SSRS and/or Power BI. Strong SQL experience, ideally SQL Server, Azure SQL Database and T-SQL. Experience with ETL/ELT and data integration tools, ideally Informatica. Strong understanding of dimensional modelling, including Star Schema. Experience optimising BI models, queries and reporting performance. Understanding ...

with Digital Transformation and IT to leverage cloud-based data technologies and modern data platforms. Drive best practice across data engineering, including data pipelines, ETL/ELT, data modelling and Medallion architecture. Oversee the development of high-quality dashboards, Management Information and analytical products for Executive, management and operational audiences. … Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing data pipelines, ETL/ELT processes and modern data models. Practical understanding of modern data architecture approaches, including Medallion architecture. Experience delivering Management Information, dashboards and executive-level ...

using Azure Databricks , Azure Data Factory , and Azure SQL Database . Optimise Databricks environments for performance, cost, and security. Develop and maintain data integration , ETL/ELT processes, and data quality frameworks. Translate business requirements into data models, ensuring consistency and accuracy across data layers. Work with stakeholders to deliver … integration environments. 8–10 years’ experience in data engineering and integration , ideally in enterprise‐scale environments. Hands‐on experience with Spark (PySpark/SparkSQL) , ETL/ELT design, and data pipeline orchestration . Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with ...