76 to 100 of 210 Remote/Hybrid ETL Jobs

Knowledge of Data model and dimensional model Reporting skill set Power BI and visu alisation skillset - d e sirable Previous experience of Data testing, ETL, testing large volume of d ata. Experience of working with cross-functional delivery squad or scrum team working with Product Owners, Scrum Master ...

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 ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. • Strong SQL Server and T-SQL skills. • Experience developing ETL/ELT processes and data pipelines. • Experience with APIs, integrations and data exchange technologies. • Experience using Microsoft Azure services. • Experience with Microsoft Fabric or similar cloud data ...

record of delivering measurable transformation. You’ll have: Experience of designing and implementing automated workflows (e.g. RPA, scripts, integrations) Experience of data engineering/ETL processes (e.g. SQL, scripting languages, data pipelines) Ability to analyse and map business processes and translate them into technical requirements Good communication skills with ...

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 ...