101 to 125 of 245 ETL Jobs in London

with relational databases and NoSQL databases Significant experience and in-depth knowledge of creating data pipelines and associated design principles, standards, Data modelling concepts, ETL procedures, and all steps of data production process Experience with unit and integration testing, and data quality frameworks such as Deequ, Great Expectations or Delta more »

high-performance data systems that are foundational to driving business growth and success. Key responsibilities: Implementing scalable data architectures and systems. Developing and maintaining ETL (Extract, Transform, Load) pipelines. Managing data storage, backup, and recovery mechanisms. Writing complex SQL queries to extract data for analysis. Developing and implementing data security more »

requirements into technical requirements & development experience using data discovery tools such as MS Power BI, QlikView, Tableau Ability to model and transform data, build ETL solutions and present data in a useful business context Experience developing data warehouses & data marts using the Kimball methodology Experience or awareness of Big Data more »

business requirements into technical specifications Hands-on experience with data discovery tools like MS Power BI, QlikView, Tableau Proficiency in modelling and transforming data, ETL solutions, and presenting data contextually Experience in developing data warehouses & data marts following the Kimball methodology Strong communication and problem-solving skills Interested in staying more »

and AI. Data compliance standards and regulations like PII, GDPR, CCPA, etc. Hands-on experience in handling PII datasets and operationalising DSAR. Proficiency in ETL processes and governance. Appropriateness in employing data cleansing techniques and tools. Possess articulate communication skills, capable of crafting concise requirements, epics, and stories with clear more »

Google Premier Partner. You will actively engage with clients, gathering requirements, creating the appropriate structure for data in ERA data warehouses and develop robust ETL processes - thus ensuring the integrity of the data. Your role will be instrumental in the creation of a new data lake/warehouse/hub more »

the organization. Developing and implementing data models and algorithms to support data science and machine learning initiatives. Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such as more »

resourceful, independent and have a strong attention to detail Ability to face off to senior stakeholders and key decision makers Strong understanding of Data ETL tools (e.g. Alteryx) - nice to have Insurance London, UK - hybrid up to £50K Permanent more »

a modern cloud based data stack further developing the estate. You'll work closely with data scientists deploying models, developing scalable data warehouses, designing ETL pipelines loading data into Snowflake and solving data engineering problems. You'll be impactful to ensure that the business get the most out of Snowflake. more »

good knowledge of their respective language and writing production ready code that will be deployed on the cloud. 𝐑𝐨𝐥𝐞: Development of end-to-end ETL Data Pipelines Architect and build Market Data processing systems that will deal with Tick Data, Order Book data and Trade Data. Working collaboratively with the more »

Engineer role * A strong understanding of data architecture concepts * Experience working with Azure technologies such as Data Lakes, Data Factory, Databricks, Synapse Analytics * Strong ETL experience * Experience as a team lead or mentoring other members of the teamThis is just a brief overview of the role. For the full information more »

efficient data ingestion, processing, storage, and analysis. The ideal candidate will have a strong background in data engineering, including expertise in building and optimizing ETL processes, data warehousing, and working with big data technologies. Main Responsibilities ● Collaborate with business stakeholders to gather and analyse business requirements, translating them into specific … applications. ● Lead end-to-end processes following the CRISP-DM process model to deliver high- quality datasets and their applications. ● Design and implement robust ETL/ELT pipelines from a variety of data sources, including RDBMS, texts, spreadsheets, and API endpoints, into the data warehouse. ● Utilise workflow management tools to … Azure DevOps and Data Factory is a plus. ● Experience with Docker and Kubernetes for creating portable and scalable environments is a plus. ● Experience with ETL tools like Pentaho Data Integration is a plus. Soft skills ● Analytical thinking with a keen attention to detail and a problem-solving mindset. ● Excellent communication more »

SKILLS Proficiency in SQL and data querying validation and testing purposes. Hands on experience with Snowflake or Airflow or DBT. Familiarity with data integration, ETL processes, and data governance frameworks. Solid understanding of data structures, relational databases and data modelling concepts. Experience with CDP Customer Data Platform in a data more »

governance concepts, practices, and frameworks. Strong technical skills in data modelling, metadata management, and data lineage. Datawarehouse design and implementation Experience with SQL Server ETL processes A good knowledge of Power BI reporting Desirable Skills Nexthink Software SNOW Software JAMF Software Accreditations Microsoft Data Analyst Microsoft Data Engineer more »

candidates with the following skills and experience: Expert with SQL and Azure Data Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a more »

Proficiency in handling and processing large datasets, ensuring data quality and accessibility, including expertise in vectorized datasets. Experience with Data Integration Tools: Proficiency in ETL/ELT tools and practices. Competency in deploying and managing AI solutions on AWS cloud infrastructure. Experience with containerization technologies like Docker. Understanding and application more »

of Cloud e.g. Azure and or AWS -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational, Graph stores, OLAP, Data Lakes and more »

will have the following skills and experience: Expert with SQL and Azure Data Engineering Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc. Experience being customer-facing on numerous data focused projects with a more »

team whilst ensuring the overall performance of the solutions utilising the latest technologies, processes and best practice. You will design and build data pipelines, ETL processes and data workflows that enable data to be transferred seamlessly across a variety of platforms Required Skills: - Effective experience leading, motivating and developing a more »

Engineer with excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational, Graph stores, OLAP, Data Lakes and more »

of Big Data -Excellence experience across Azure -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational, Graph stores, OLAP, Data Lakes and more »

of systems such as Microsoft Office 365, Dynamics 365, SAP Success Factors, Treasury Openlink Findur, CMS, BACs Payment Platforms, Microsoft Power BI, Integration/ETL, Azure Active Directory Single Sign On and other bespoke applicationsExperience in executing business continuity planning and IT DRPCreating solution and technical application architectures, IT standards more »

+ benefits Purpose: Design, build, and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise … Pandas and NumPy. SQL: Advanced skills in complex querying and data manipulation. Data Modelling: Proven ability in designing efficient models for scalability and performance. ETL Processes: Deep expertise in developing and optimising ETL pipelines. Version Control: Experience with Git for code collaboration and change tracking. Data Pipeline Tools: Proficiency with more »

it with source documents. Maintain detailed documentation for future reference. Collaborate on process enhancements and ensure compliance. 💼 Skills and Qualifications: Minimum 4 years of ETL/reconciliation experience. Strong analytical skills and attention to detail. Proficiency in financial software and data analysis tools. Expertise in SQL Familiarity with scripting languages more »

Architect and excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational, Graph stores, OLAP, Data Lakes and more »