76 to 100 of 275 Remote ETL Jobs

input templates with validations Building and maintaining data pipelines (utilising data pipelines or dataflow Gen 2) from the Fabric Lakehouse files into the PowerBI semantic model. i.e. support the Extract, Transform, Load data side. Create Power BI reports in a timely manner for stakeholders Clearly document process' and procedures utilised The candidate ideally must have: Experience in the full data More ❯

input templates with validations Building and maintaining data pipelines (utilising data pipelines or dataflow Gen 2) from the Fabric Lakehouse files into the PowerBI semantic model. i.e. support the Extract, Transform, Load data side. Create Power BI reports in a timely manner for stakeholders Clearly document process' and procedures utilised The candidate ideally must have: Experience in the full data More ❯

and replacing the legacy solution for allocation factor calculation with an innovative, graph database-driven solution. Duties: Lead the design of data architectures and the development and optimisation of ETL/ELT pipelines to enable seamless integration of data from multiple sources, including raw datasets and outputs from GraphDB (NEO4J), hosted on Google Cloud Platform (GCP). Create and document More ❯

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

Brilliant team culture + socials What you'll need: Strong SQL skills - you'll be optimising queries and managing complex financial datasets Python experience, particularly for data processing and ETL workflows Hands-on experience with cloud platforms- Azure Experience designing and maintaining data pipelines using tools like Databricks and PySpark Knowledge of data warehousing solutions - Snowflake experience would be brilliant More ❯

in a highly skilled, collaborative environment with access to end-to-end business data. You'll: Lead the design and implementation of data warehousing solutions Develop robust data models, ETL pipelines, and data integration processes Take end-to-end ownership of demand delivery Provide technical mentorship and support (2nd/3rd line) Collaborate with business partners, data scientists, and report More ❯

Required Skills & Experience Proven experience as a Tableau Desktop Specialist or similar role. Strong portfolio of dashboard development and data storytelling. Deep understanding of data modeling, data cleaning, and ETL processes. Proficiency in advanced Tableau features including LOD, table calculations, and forecasting. Experience with Tableau Server and/or Tableau Cloud administration. Familiarity with Tableau Prep, JS API, and REST More ❯

within Power BI Support the integration and management of Microsoft Fabric as part of the evolving data architecture Participate in the full project lifecycle from design to deployment Optimise ETL/ELT processes and propose enhancements to existing systems Implement and maintain API integrations Collaborate with users, analysts, and developers to drive data performance improvements Document data models, pipelines, and … similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala) Exposure to Microsoft Fabric, or a strong willingness to learn Experience using version More ❯

using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams More ❯

SCI FSP) • Strong programming skills in Python • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. • Understanding of data modeling, data warehousing, and data governance principles • Machine Learning Infrastructure More ❯

SCI FSP) • Strong programming skills in Python • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. • Understanding of data modeling, data warehousing, and data governance principles • Machine Learning Infrastructure More ❯

with complex event processing and real-time streaming data 3 Years Experience with deployment and management of data science tools and modules such as JupyterHub 3 Years Experience with ETL, data processing, analytics using languages such as Python, Java or R 3 Years Databricks Certified Data Engineer Professional - Highly desired Experience with Cloudera Data Platform - Highly desired 3 Years 16+ More ❯

components. Collaborate with technical teams and partners to meet business needs. Contribute to pre-sales, proposals, and thought leadership activities. Requirements Strong experience designing and maintaining data platforms and ETL/ELT solutions. Solid knowledge of Databricks, Python, PySpark, Spark SQL, Azure and/or AWS. Data modelling expertise (Inmon, Kimball, Data Vault). Familiar with DataOps practices and pipeline More ❯

complex business problems and designing workable technical solutions. Excellent knowledge of the SDLC, including testing and delivery in an agile environment. Excellent knowledge of SQL (SQL Performance Tuning) and ETL Experience of data warehousing and data lake solutions. Experience working in an Agile environment. This is an excellent opportunity to join a company as it continues to grow and expand More ❯

Deliver custom insights and analytics to support marketing and sales objectives. Build and maintain Tableau dashboards and reports to track KPIs, campaign performance and user engagement. Develop and maintain ETL pipelines using SQL and Python. Translate business needs into analytical requirements, communicating findings with clarity and impact. Conduct data analysis and A/B testing to measure the effectiveness of More ❯

in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how you feel More ❯

data quality dimensions and integrate metrics with centralized tools that measure data products' quality and reliability in the organization Qualifications Understanding of data engineering (including SQL, Python, Data Warehousing, ETL, Dimensional Modelling, Analytics) Understanding of cloud data infrastructure elements, and ideally AWS (Redshift, Glue, Athena, S3) and understanding of existing governance frameworks of data quality and their dimensions (DAMA, GOV.UK More ❯

concepts and practices, with the ability to work with engineering to translate business requirements and ensure the data is structured appropriately for the required analytics Experience with data modelling, ETL process and/or data pipeline creation Comfortable managing multiple projects and stakeholders with competing deadlines and priorities, ensuring the highest value work gets prioritised and accomplished in a proactive More ❯

commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data More ❯

commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data More ❯

for you. What You’ll Be Doing As a Data Analyst, you’ll play a vital role in: Data Engineering: Assisting with the design, development, and implementation of efficient ETL processes to transform raw data into actionable insights. Business Intelligence: Helping to develop dashboards, reports, and analytics that support informed decision-making across the business. User Experience Analysis: Understanding how More ❯

data platform in the VC ecosystem and work directly with decision-makers in a fast-paced, data-driven investment environment. What You'll Be Doing Designing and building scalable ETL pipelines to integrate and transform data from 12+ sources Developing and maintaining data models that power dashboards, reports, and investor tools Working closely with investment stakeholders to translate business needs More ❯

Azure-based architecture, with a focus on performance, scalability, and reliability. Responsibilities Design and implement robust data migration pipelines using Azure Data Factory, Synapse Analytics, and Databricks Develop scalable ETL processes using PySpark and Python Collaborate with stakeholders to understand legacy data structures and ensure accurate mapping and transformation Ensure data quality, governance, and performance throughout the migration lifecycle Document More ❯

Data Engineer | Python | SQL | AWS | ELT/ETL | PowerBI | Tableau Data Analytics Engineer - Up to £70,000 + Bonus Fully-remote role Method Resourcing are very excited to be partnering with a disruptive and rapidly scaling start-up who are urgently looking for an accomplished Data Engineer to join their growing team! This is a fantastic opportunity to join a More ❯

databases Experience building dashboards, prompts, and drill-down functionality Strong communication skills to work with both technical and non-technical stakeholders Nice to Have: Experience with data modelling or ETL tools Knowledge of other BI tools (e.g. Power BI, Tableau, Qlik More ❯