151 to 175 of 277 Remote ETL Jobs

promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and More ❯

promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and More ❯

promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and More ❯

promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and More ❯

promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and More ❯

skilled Data Engineer to join our team on a predominantly remote basis, with occasional travel to London. This role is ideal for someone with strong experience in data migration, ETL (both batch and real-time), and data warehouse development. What you'll need: DataStage Redshift QuickSight AWS S3 Java SQL Relational databases GitHub/lab experience Nice to have: Data More ❯

and driving innovation across enterprise clients in diverse industries. Responsibilities Design and implement end-to-end data solutions leveraging Microsoft Fabric and Azure technologies, including data lakes, warehouses, and ETL/ELT pipelines. Lead data modeling, integration, and governance initiatives, ensuring compliance with security, legal, and regulatory frameworks. Optimize data workloads for performance, scalability, and cost efficiency , identifying and resolving More ❯

TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology within the More ❯

TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology within the More ❯

DW/Analytics, including 4+ years in architecture. Strong banking expertise and proven pre-sales/RFP experience. Hands-on GCP experience (BigQuery, Dataflow, Dataproc, etc.), enterprise data modelling, ETL/ELT, and governance tools (Unity Catalog, Alation, Profisee). Excellent C-suite engagement and advisory skills. Why apply? Strategic, client-facing technical leadership role. Opportunity to drive cloud and More ❯

technologies Supporting internal customers across multiple teams and functions ?? What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience More ❯

clean, testable, automated) The mindset of a builder: thrives in fast-paced startup environments, takes ownership, solves complex challenges Bonus points if youve worked with: large-scale data processing, ETL pipelines, cloud deployments, or DevOps/CI-CD practices. Why join? ? Competitive salary + benefits ? Ownership and impact in a high-growth cybersecurity scale-up ? Work with cutting-edge technology More ❯

exceptional listening, communication, and interpersonal skills to support a high-functioning delivery culture. Be highly organised and skilled in planning and presenting. Whilst not essential SQL, data modelling, and ETL process experience would be an advantage. What’s in it for you? A starting salary of £70,000 and up to £80,000 per annum, depending on skills and experience. More ❯

to NTT DATA offices and client sites when required. Overall objectives for this role are: • To work in Data Migration engagements with our clients and partners, covering the full ETL process chain, from early assessments of data scope all the way through to Post GoLive Support and outside-project support. • Become, through dedicated training, one of our new Natuvion DCS More ❯

across cloud platforms. Your work will underpin data quality and ensure that insights are built on trusted, consistent data. Key Responsibilities: Design and implement automated tests for data pipelines, ETL processes and APIs across AWS and Azure environments. Develop and maintain test frameworks that validate data quality, completeness and integrity. Collaborate with engineering teams to identify data defects, root causes … and define quality metrics for ongoing improvement. Contribute to process refinement, ensuring scalable and efficient data testing practices. Person Specification: Strong understanding of data engineering concepts, data models and ETL workflows. Experience creating automated data validation scripts or frameworks using SQL, Python, or PySpark. Proficient in testing data within cloud ecosystems (AWS, Azure (preferred) or GCP). Experience with testing More ❯

such as Spring. You have built event-driven applications using Kafka and solutions with event-streaming frameworks at scale (Flink/Kafka Streams/Spark) that go beyond basic ETL pipelines. You know how to orchestrate the deployment of applications on Kubernetes, including defining services, deployments, stateful sets etc. and where to look if there is a problem. You know More ❯

in SQL for data extraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience More ❯

tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills in Python. Extended skills across AWS, Azure, dbt, Airflow etc. Could this be of interest? If so, please get in touch with Alex at More ❯

tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills in Python. Extended skills across AWS, Azure, dbt, Airflow etc. Could this be of interest? If so, please get in touch with Alex at More ❯

tools such as dbt and Airflow. Additional skills in The successful candidate should have the following skills: Extensive hands-on experience with Snowflake data platform. Proficiency in SQL and ETL/ELT processes. Strong programming skills in Python. Extended skills across AWS, Azure, dbt, Airflow etc. Could this be of interest? If so, please get in touch with Alex at More ❯

and the ability to engage stakeholders at all levels Commitment to continuous improvement and eagerness to learn Desirable Skills Integrations (Stu-talk) Strong knowledge of Oracle and SQL databases & ETL processes Knowledge of Azure development environment (Azure Data factory, Logic Apps) Ability to translate non-technical requirements to technical solutions Why Apply? Flexibility: Remote-first or hybrid roles available Be More ❯

readiness (holdouts, lift, attribution inputs). Must-have experience 3 - 6+ years in analytics/marketing data roles with advanced SQL Proven work with CDP and/or reverse-ETL patterns and Braze. Strong data modelling in a modern warehouse and experience with dbt. Building audiences at scale, including identity resolution and edge-case handling. Rigorous testing/QA mindset More ❯

cause analysis to prevent future occurrences. Required Skills & Qualifications: Proven experience in Database Administration, particularly with SQL databases. Familiarity with high availability solutions and disaster recovery techniques. Experience with ETL tools and processes (e.g., Informatica, Talend, SSIS, Azure Data Factory). Proficiency in version control systems (GitHub, Bitbucket). Strong experience in writing, maintaining, and troubleshooting Transact SQL (TSQL). More ❯

cause analysis to prevent future occurrences. Required Skills & Qualifications: Proven experience in Database Administration, particularly with SQL databases. Familiarity with high availability solutions and disaster recovery techniques. Experience with ETL tools and processes (e.g., Informatica, Talend, SSIS, Azure Data Factory). Proficiency in version control systems (GitHub, Bitbucket). Strong experience in writing, maintaining, and troubleshooting Transact SQL (TSQL). More ❯

data solutions. Support the evaluation, design and implementation of data platforms and tools. Structure and prepare data for analytics, data mining, machine learning and application use. Manage and monitor ETL processes, data migrations and conversions. Ensure compliance with data governance, security, and privacy standards. Contribute to continuous improvement, automation and best practice adoption across DataOps functions. Skills & Experience Solid experience … Server database development, with strong T-SQL skills and query performance optimisation. Demonstrated expertise in data modelling and data mapping , including conceptual, logical and physical design. Strong understanding of ETL design and data warehousing principles. Proficiency working with data in multiple formats (JSON, XML, CSV, etc.). Experience with BI or reporting tools such as Power BI or Tableau . More ❯