126 to 150 of 181 ETL Jobs in London

Unified Architecture (TcUA) expertise BMIDE configuration and deployment experience ITK (C/C++), SOA, RAC and AWC customisation skills Proven Teamcenter data migration and ETL experience TcXML/PLMXML import-export knowledge Strong SQL skills across Oracle and/or MSSQL Experience with Teamcenter APIs and integration frameworks Excellent debugging ...

Fixed Income/Currencies/Sales/Trading data Worked closely with front-office stakeholders Data Architecture/Engineering Awareness Understanding of data pipelines, ETL, reporting layers Exposure to data platforms (DWH, cloud, big data) Data Analysis & Root Cause Skills Hands-on experience in analyzing large datasets Proven ability ...

and a leader who identifies and creates synergy in a group) Knowledge of data conversion strategy Capturing data Creating source-to-target definitions for ETL/data flow process Data quality and database management Good problem solving and insight generation skills Excellent communication skills with technical and non-technical stakeholders ...

working in the finance or tech space Strong experience with AWS Strong technical background, ideally with Python, Java, or C# Extensive experience working with ETL pipelines and large-scale data Proficiency in SQL What’s on Offer 12-month rolling contract with a well-established global firm Opportunity to lead ...

following ecosystem pillars: HTML, CSS, JavaScript, able to build and review high-quality Lightning front-end experiences. REST/SOAP, platform events, MuleSoft/ETL tools, data migration strategy. Opportunity/case management, forecasting, omni-channel routing, or CPQ concepts. Experience Cloud: Partner/self-service portals and digital experience ...

structured outputs, evals. Prior consultancy or client-facing delivery experience. Cloud and data infrastructure depth (GCP/AWS, Terraform, CI/CD, warehouses, ETL). Front-end or IaC delivery experience to complement the backend core. How you'll know this job is for you You like being the person ...

growth. Key Responsibilities Analyse and model structured and unstructured data using logical and physical modelling techniques Design scalable data architectures, including data flows and ETL processes Support modern, cloud-based data platforms and solutions Ensure data quality, governance, lineage, and compliance with regulations (e.g. GDPR) Translate business requirements into data …/or Python Solid understanding of data modelling, normalization, and performance optimisation Experience with data governance, security, and regulatory compliance Hands-on experience with ETL processes, data warehouses, and cloud platforms (e.g. AWS, Azure, GCP, Snowflake) Ability to communicate technical concepts clearly to non-technical stakeholders Desirable: Experience with data ...

data processes, and reporting. Key Responsibilities Design, develop, and maintain solutions within the Tagetik platform Build and enhance Analytical Workspace components Develop and manage ETL (Extract, Transform, Load) and DTP processes within Tagetik Create and optimize Tagetik Excel reports , including: Matrix Reports SQL Query Reports Write, optimize, and troubleshoot … financial and reporting solutions Required Experience Minimum 2+ years of Tagetik development experience in a live production environment Strong expertise in: Tagetik Analytical Workspace ETL and DTP development within Tagetik Tagetik Excel reporting (Matrix & SQL-based) Solid working knowledge of SQL , including coding and troubleshooting Proven hands-on development experience ...

This is not a paper-architect role. The successful candidate will pick up an in-flight, multi-year programme to decouple and replatform the ETL processes that sit behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake …/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. Hands-on T-SQL, stored procedure, ETL framework and PowerShell development at expert level partition design and partition-aligned indexing, clustered/nonclustered index strategy, deduplication, parallel-run cutovers, schema migration, performance ...

setting up and configuring SAS environments from an architecture and platform perspective. - Solid understanding of SAS architecture, administration, and enterprise deployment models. - Experience with ETL design and data integration architecture. - Knowledge of Oracle and integration with enterprise database platforms. - Understanding of networking infrastructure and how it supports enterprise analytic platforms. ...

setting up and configuring SAS environments from an architecture and platform perspective.- Solid understanding of SAS architecture, administration, and enterprise deployment models.- Experience with ETL design and data integration architecture.- Knowledge of Oracle and integration with enterprise database platforms.- Understanding of networking infrastructure and how it supports enterprise analytic platforms. ...

prem and cloud environments Experience integrating GIS platforms with OSS/BSS, asset management and enterprise data platforms Strong understanding of APIs, microservices, ETL pipelines and event-driven architectures Experience with geodatabase design, versioning, network rules and data governance Knowledge of Azure and/or AWS cloud environments Ability ...

applications in a cloud environment, ideally Azure Hands on expertise with LLMs, prompt engineering, and agent based workflows Solid grounding in data engineering including ETL, orchestration, and working with large datasets Experience building scalable, reliable systems with strong deployment and testing practices Ability to communicate technical concepts clearly ...

Acumen: Strong understanding of gross-to-net revenue splits, multi-currency transactions, and deferred revenue compliance (GAAP/IFRS). Technical Skills: Familiarity with ETL tools, data reconciliation pipelines, and SQL/data warehousing concepts is a major plus. If you are interested in the above role then ...

first Results and impact driven Self-motivated Continuous improvement Role Responsibilities Partner with business stakeholders to gather, challenge, and translate reporting and analytics requirements. Extract, transform, analyse, and interpret data from multiple sources to support business decision-making. Design, develop, and maintain Power BI reports and semantic models. Write efficient … Data Build Tool) for data transformation and modelling. Familiarity with cloud-based data platforms, particularly Microsoft Azure. Experience working with data engineering or ETL pipelines. Exposure to version control and collaborative development practices (e.g., Git/GitHub). Experience working within financial services, insurance, or other highly regulated industries. ...

dashboards to monitor the performance of LPS facilities. Provide analytical support across a range of LPS strategic initiatives. Key Responsibilities Monoline Facilities – Data & Analytics Extract, interrogate and analyse data to support the Portfolio solutions Lead in internal scoping discussions with relevant stakeholders, using BI and analytics to identify opportunities and … remains current and reliable as facilities grow and data sources evolve. Must-Have Skills & Experience End-to-end development of Power BI reports, including ETL, data modelling, DAX expression writing and report creation. Proficiency in SQL development and good practices in query writing and optimisation. Good understanding of relational databases ...

technology investment decisions, build-vs-buy trade-offs and strategic platform direction. Shape the multi-year technology modernisation strategy, balancing the need to extract maximum value from the existing Endur platform with the ambition to adopt cloud-native, event-driven and AI-augmented architectures. ETRM & Endur Platform Architecture Serve … performance SLAs required for real-time energy trading. Design enterprise integration architecture, covering API management, event-driven patterns (Kafka, EventBridge), messaging (JMS, MQ), ETL/ELT pipelines, microservices and service mesh topologies. Champion AI, ML and agentic automation opportunities within the trading technology estate including intelligent scheduling, anomaly detection, automated ...

engineering standards, defining best practices and mentoring a growing team while remaining hands-on with complex technical delivery. You'll design and build scalable ETL and ELT pipelines, develop robust data models, oversee CI/CD processes, and ensure high-quality data solutions are delivered across AI, analytics and client … team. DATA ENGINEER ESSENTIAL SKILLS Commercial experience in a Lead or Senior Data Engineering position Strong SQL and Python development skills Expertise building ETL and ELT pipelines Experience designing scalable data models and data warehouses Knowledge of Azure, AWS or GCP cloud platforms Experience with CI/CD, Git and ...

that support data science and business intelligence use cases. Key Responsibilities Assessing clients' technical needs and managing stakeholder relationships appropriately. Identifying, designing, and implementing ETL/ELT pipelines across on-premise, cloud-based, and hybrid environments, including harvesting, ingesting, integrating, cleansing, migrating, and converting structured and unstructured data. Designing and … across data analysis, extraction, transformation, and loading, with hands-on knowledge of relevant technologies such as Spark, Python, Kafka, SQL, Airflow, and cloud-based ETL services. Experience designing schemas for data warehouses and data marts, assessing data quality issues, and integrating quality checks into pipelines. Knowledge of cloud infrastructure ...

build data models, schemas to support business requirementsDevelop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.Working collaboratively with the client and … and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.Data acquisition and development of data ...

company products, all potential applications, and effective communication skills. 3+ years in pre‐sales environment for a software vendor in the iPaaS, API management, ETL, ESB or similar space. Excellent written and presentation skills and the ability to consult and empathize with customers. Strong hands‐on relational database skills, SaaS ...

doing Leading, mentoring and growing a team of Data Engineers Designing and building scalable data pipelines and cloud based data platforms Developing robust ETL and ELT solutions using Python and SQL Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with … quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring or developing engineers ...

Senior Data Engineer, you'll design, build and optimise scalable data pipelines that support high-performance applications and analytics. You'll develop reliable ETL processes, improve data quality and platform performance, and work closely with Product and Engineering teams to deliver robust data solutions. You'll also contribute to architectural … subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Senior Data Engineer, Data Engineering, Python, SQL, ETL, Data Pipelines, Data Architecture, Data Modelling, PostgreSQL, NoSQL, Cloud, AWS, Azure, GCP, Big Data, Agile. ...

Design, develop, and maintain cloud-based data platforms and products. Lead the delivery of data solutions across the full product lifecycle. Build and optimise ETL/ELT pipelines and data processing frameworks. Collaborate with architects, product managers, and engineering teams to solve technical challenges. Produce clear technical documentation and communicate … communication skills and a commitment to mentoring and supporting colleagues. Essential Skills & Experience 5+ years' experience in Data Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience ...

Defining and enforcing development best practice and coaching team members to ensure consistency. Working with project architects, taking responsibility for non-functional needs of ETL/ELT data processing pipelines such as robustness and performance. Taking responsibility for standards and execution of unit and integration testing done within the team. … experience in one of Java, Scala, or Python Software development experience with data-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks Ability to simply and ...