76 to 100 of 207 Remote ETL Jobs

where appropriate. Prepare datasets for inclusion in PBI reports. What we are looking for Strong understanding of the principles of database systems, data warehouses, ETL processes, APIs and data analytics. The resilience to deal with and work around the limitations of legacy systems, and to adapt as systems change. Excellent ...

using LangChain, LangGraph, or Microsoft Agent Framework Integrate tools, APIs, databases, and memory systems Develop safety and reliability checks for agent behaviour Build scalable ETL/ELT pipelines Perform feature engineering and advanced data prep Integrate SQL/NoSQL, data lakes, warehouses, and streaming APIs Ensure compliance with GDPR/ ...

architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return, you can expect a flexible working culture, including: Non-contributory career-average ...

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 ...

and deploy machine learning models , taking solutions from initial ideation through to production deployment and ongoing optimisation. Design, develop and maintain scalable data models, ETL pipelines and data workflows that support analytics and machine learning initiatives. Analyse large and complex datasets to identify trends, patterns and opportunities, communicating insights ...

Weaviate Milvus ChromaDB Cloud Platforms Commercial experience with one or more: AWS Microsoft Azure Google Cloud Platform (GCP) Enterprise Data Data Engineering Data Platforms ETL Vector Databases Enterprise Search Semantic Search Knowledge Graphs OCR Document Processing SQL NoSQL Streaming Data Software Engineering Strong experience across several of: Python TypeScript Java ...

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 Goldman Sachs Highlights At Goldman Sachs, we commit ...

curation for large-scale datasets Preferred Qualifications Knowledge or interest in 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 ...

including audit trails, confidence scoring, and human‐in‐the‐loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. ...

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 At Goldman Sachs, we commit our people, capital ...

Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

maintenance of scalable data pipelines and data platforms. Develop and optimise data models, schemas and storage solutions to support analytics and reporting. Build robust ETL/ELT processes to integrate data from multiple sources. Ensure high standards of data quality, governance, security and compliance. Collaborate with business stakeholders to understand … similar technical role. Strong SQL and experience with one or more programming languages such as Python, R or Scala. Experience designing and building ETL/ELT pipelines. Knowledge of data modelling, data warehouses, lakehouses or data lakes. Experience with Microsoft data technologies such as Fabric, Synapse and Power BI. Understanding ...

Coordinate data conversion and migration cycles across key phases: System Testing End-User Testing Final Migration & Go-Live Work with technical experts to ensure ETL (Extract, Transform, Load) tools are developed and embedded to industrialise data transfers. 3. Master Data & Governance Foundations Define and implement the blueprint for Group Master ...

OnPrem and Cloud* Experience with processing large datasets as well as streaming data and unstructured data sources including Cassandra HBase Kafka and Spark* Strong ETL and data pipeline experience particularly with modern big data toolsets such as Airflow and Nifi or equivalent* Strong programming background in either Java Python ...

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 ...

physical data models for enterprise data platforms. Develop scalable and reusable data models supporting analytical and operational business requirements. Design data structures across complex ETL and ELT environments, from raw ingestion through to curated and consumption layers. Maintain enterprise metadata, data dictionaries, and business glossaries. Ensure consistent application of enterprise ...

work on complex engineering challenges within an innovative, collaborative environment. What you'll be doing Designing and building modern, scalable data platforms Developing reliable ETL/ELT pipelines and data models Working closely with software, AI and engineering teams Improving data quality, accessibility and governance Applying AI-powered tools and ...

administration experience, with exposure to Solaris, Red Hat Enterprise Linux, Docker and VMware environments. Experience building and supporting CI/CD pipelines, automated testing, ETL processes and Bash scripting. Knowledge of Nginx, Apache Tomcat/HTTP and monitoring/auditing integrations. Strong troubleshooting, documentation and stakeholder communication skills. Nice ...

data modelling (e.g. dimensional modelling, normalisation, semantic layers) Proven experience designing scalable data architectures (warehouse, lake, or lakehouse) Strong understanding of data pipelines (ETL/ELT) and transformation patterns Experience working with API-driven and/or event-based systems Ability to define and enforce data standards and governance practices ...

Comfortable with technology, architectural decisions, and technical trade‐offs, backed by a previous background as an experienced software engineer. Experience with data platform and ETL/orchestration technologies such as Apache Airflow, Spark, AWS Glue, and Snowflake. Experience with or strong advocacy for AI developer tooling such as Claude Code ...

OpenData and integration of third‐party reference data Certification from a CRM or MDM software vendor Hands‐on experience with data warehousing concepts, SQL, ETL tools, or web services technologies Exposure to integration frameworks, user authentication methods, or batch data processes Additional European language(s) Perks & Benefits Annual allocations ...

detail and quality-first mindset AI Data Quality Analyst 30/07/2026 Permanent Location United Kingdom Start date As soon as possible ETL Developer Java JSON Python +2 30/07/2026 Permanent Location Bournemouth, England, United Kingdom Start date As soon as possible Business Analyst ...

and developing enterprise-scale data solutions using Microsoft Fabric Building modern Lakehouse and Warehouse solutions within Fabric Developing Azure Synapse Analytics solutions Creating scalable ETL and ELT pipelines Developing Power BI semantic models and supporting reporting solutions Engineering robust Azure Data Factory integrations Building secure Azure Data Lake solutions Working … also bring strong experience across: Microsoft Fabric (essential) Azure Synapse Analytics (essential) Power BI Azure Data Factory Azure Data Lake SQL Server ETL/ELT development Azure DevOps Git Enterprise cloud data engineering AI Experience We're looking for engineers who have already begun applying AI capabilities within enterprise data ...

modern data engineering practices, cloud technologies, data modelling, and platform development, with plenty of opportunities for learning and progression. Key Responsibilities Build and support ETL/ELT data pipelines using modern cloud technologies. Assist with integrating and transforming data from multiple business systems. Help maintain a scalable, secure, and reliable … related subject, or equivalent commercial experience. Good SQL skills and experience with Python or another programming language. Understanding of databases, data modelling, and ETL/ELT concepts. Interest in cloud data technologies and modern data platforms. Exposure to Azure, Microsoft Fabric, Databricks, Data Factory, or similar technologies would be advantageous. ...