51 to 75 of 257 Remote/Hybrid ETL Jobs

time allocated to ensure you have time to learn. Required Experience Experience working in a Managed Service team supporting Azure based Production Data & Analytics ETL/integration solutions (Fabric, Databricks, Synapse, Data Factory, Function Apps, Power BI etc) against SLAs Python, PySpark, Scala, Spark SQL Ability to identify and investigate ...

including: Hands-on experience building and operating cloud-based data platforms in production Strong programming skills (Python, SQL and/or Spark-based frameworks) ETL/ELT pipeline design at scale Experience with modern data orchestration and workflow tools Infrastructure as Code (e.g. Terraform or similar) CI/CD practices ...

with confidence communicating at executive level Deep understanding of modern data architectures (e.g. lakehouse, medallion, API-driven) and integration patterns (API, ESB, event-driven, ETL/ELT) Solid knowledge of data governance, lineage, quality frameworks, and compliance Experience with agile product delivery, roadmap planning, and value-driven prioritisation A strategic ...

assessment and implementation phasing Data & Analytics Program Leadership: Experience managing data platform initiatives, analytics infrastructure rollouts, or business intelligence programs; familiarity with data modeling, ETL orchestration, and data governance Emerging Technologies Exposure: Demonstrated learning agility with emerging technologies including Generative AI integration, Machine Learning Operations (MLOps), and cloud-native architectures ...

shape data architecture, influence technical decisions, and contribute to meaningful, data-driven outcomes. Key Responsibilities Design, develop, and maintain scalable data pipelines to extract, transform, and load (ETL) data into cloud-based data platforms, primarily AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. … automated builds, deployments, and testing. Skills and Experience Strong experience designing and building data pipelines on cloud platforms, particularly AWS. Excellent proficiency in developing ETL processes and data transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such ...

data pipelines are scalable, repeatable, and secure. Utilizes a deep dive analytical skillset on a variety of internal and external data. Your Responsibilities Writes ETL (Extract/Transform/Load) processes, designs database systems, and develops tools for real-time and offline analytic processing. Troubleshoots software and processes for data … special projects and performs other duties as assigned. Your Profile Essential Skills/Knowledge/Experience Proficiency in designing, development, and maintenance of robust ETL pipelines for data ingestion and transformation. Cloud platform expertise: Good exposure with AWS services for data storage, processing, and orchestration. Data modeling and architecture: Design ...

delivering enterprise-grade Power BI SQL Databases Data Visualisation, Power Query, DAX Azure SQL, Microsoft Fabric, Synapse, Data Lake would be desirable Understanding of ETL processes and Data Modelling Excellent analytical skills GIT/Azure DevOps Relevant professional certifications would be desirable e.g. DP-300, PL-300 etc. The company ...

insights for non-technical audiences Experience in project-based or Agile environments Supply chain or logistics exposure (or strong interest) Python, data warehousing, and ETL experience beneficial This is a high-impact role offering strong stakeholder exposure, long-term career development, and a competitive package within a data-driven organisation. ...

standards What you’ll need Strong Azure & Databricks engineering experience Advanced Power BI + SQL (SSIS a bonus) Solid data modelling (star schema, medallion, ETL patterns) Confident working with messy/complex data sources Performance tuning & optimisation skills Contract details 6-month Contract with a view of being extended Hybrid ...

data pipelines, data warehouses, and data platforms Solid knowledge of DataOps practices, including CI/CD, containerisation, and workflow orchestration Hands-on experience with ETL/ELT frameworks and big data tools (e.g. Spark, Airflow, Hive) Proficiency in programming languages such as Python, Java, and SQL Experience with SQL and ...

services (e.g. Data Factory, Synapse, Databricks, Azure SQL, ADLS) Proven use of Terraform to provision and manage cloud infrastructure Solid understanding of data modelling, ETL/ELT patterns, and large-scale data processing Experience working in cloud-native, production environments Ability to balance hands-on delivery with technical leadership and ...

and the Azure data platform (Data Factory, Synapse, etc.). Experience with Databricks (or strong willingness to learn). Solid understanding of data architecture, ETL processes, and performance optimisation. Excellent leadership and communication skills. What's Offered Competitive salary up to £75,000. Hybrid working model - 1 day per week ...

strategies, and performance optimisation Defining and enforcing engineering standards across code quality, testing, CI/CD, IaC, and observability Building and optimising ELT/ETL pipelines using Glue (PySpark) , Lambda, Step Functions, and event-driven patterns Championing security-by-design in collaboration with security and assurance teams (IAM, KMS, encryption ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

across the full lifecycle of data products, helping design, build, and maintain data pipelines and platforms using modern technologies. Key Responsibilities: Build and maintain ETL/ELT data pipelines and platforms. Collaborate with engineers, architects, and product managers on data solutions. Support deployment, testing, and documentation of data products. Work ...

across the full lifecycle of data products, helping design, build, and maintain data pipelines and platforms using modern technologies. Key Responsibilities: Build and maintain ETL/ELT data pipelines and platforms. Collaborate with engineers, architects, and product managers on data solutions. Support deployment, testing, and documentation of data products. Work ...

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Good experience working in an Agile environment. This is an excellent opportunity to join a company ...

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of ETL Experience of data warehousing and data lake solutions. Good experience working in an Agile environment. This is an excellent opportunity to join a company ...

technical excellence. Architect and implement robust, cloud-first data solutions. Drive migration projects from Azure to Databricks. Develop high-performance data pipelines and optimise ETL processes. Explore emerging technologies to keep the organisation ahead of the curve. Skills and Experience Proven experience as a Senior or Lead Data Engineer. Hands ...

pipelines and architectures. Experience with Python, Spark, C#, or relevant programming skills. Experience with cloud platforms and data processing tools. Knowledge of database systems, ETL processes, and data modelling techniques. Excellent problem-solving skills and a detail-oriented approach. The ability to work collaboratively with diverse teams and stakeholders. ...

have experience of building or migrating to Snowflake data platform You have Python (and ideally C#) programming skills You have experience with data modelling, ETL pipelines and data integration You have a good knowledge of Dagster, Airflow or similar orchestration tool You're collaborative and pragmatic with great stakeholder communication ...

driven decision-making Strong understanding of data governance, stewardship frameworks, and operating models Hands-on experience with data engineering and large-scale processing, including ETL/ELT, Python, and Spark Proven experience designing and operating modern cloud data platforms on Azure, including Fabric and Databricks Ability to design and govern ...

improving engineering practices and ensuring the business can rely on clean, trustworthy data. Lead by example with hands-on development, building ELT/ETL pipelines for Snowflake and Oracle using SQL, Python, and modern orchestration tools, while taking ownership of optimisation and performance. Produce high-quality, well-structured data products ...

procedures, and performing optimisation - it is essential. Experience using scripting languages such as Python or PowerShell - it is desirable. Awareness of data engineering principles (ETL, modelling, pipelines). Experience supporting BI/reporting requirements using SQL and tools such as Tableau. Familiarity with version control systems (e.g., Git) and structured ...

procedures, and performing optimisation - it is essential. Experience using scripting languages such as Python or PowerShell - it is desirable. Awareness of data engineering principles (ETL, modelling, pipelines). Experience supporting BI/reporting requirements using SQL and tools such as Tableau. Familiarity with version control systems (e.g., Git) and structured ...