351 to 375 of 870 ETL Jobs in London

testing frameworks (e.g. PyTest).//Experience with GitHub for managing code.//Strong understanding of data engineering concepts, including data modelling, ETL/ELT processes, and data warehousing. This company is seeking someone with a great personality, who has a real passion for data engineering and is More ❯

creating and sustaining high-level relationships with vendors, providers, and contractors. Experience with Python and its numerical, data, and machine learning libraries. Exposure to ETL tooling. Exposure to data science and analytical tooling such as SAS or Posit. Design and development of solutions in performance-critical environments. More ❯

experience with ClickHouse in a production environment Proficiency in Linux/Unix and database performance optimisation Strong knowledge of query optimisation , data modelling , and ETL Experience with DevOps tools (Jenkins, Ansible) and CI/CD pipelines Solid understanding of data security , backup , and disaster recovery Familiarity with Prometheus , Grafana , and More ❯

testing frameworks (e.g. PyTest).//Experience with GitHub for managing code.//Strong understanding of data engineering concepts, including data modelling, ETL/ELT processes, and data warehousing. This company is seeking someone with a great personality, who has a real passion for data engineering and is More ❯

/05/2025 Job Type : Permanent Job Responsibilities/Objectives Design and manage data warehouses using SQL, NoSQL, and cloud platforms. Develop ETL/ELT pipelines using Airflow and dbt. Collaborate with stakeholders to deliver impactful solutions. Ensure data quality, security, and governance. Required Skills/Experience The ideal More ❯

in an advertising agency; Ad Operations, Analytics, or Digital Investment is preferred. Experience in data governance and data quality processes in a Data Warehousing, ETL, and Business Intelligence environment. Knowledge and experience across multiple media channels (digital, search, social, offline, etc.). Strong attention to detail and excellent verbal and More ❯

structures and integration method. Proficient with Azure Data Factory's Mapping Data Flow for transforming and processing SAP data Strong understanding of data integration, ETL processes, and cloud-based data solutions Ability to troubleshoot and optimize data pipelines for performance and reliability. Strong understanding of cloud platform Azure, as well More ❯

Data Analytics, Statistics) General Master Data Management (MDM) experience Experienced with Semarchy MDM Platform experience v5.0 Experienced with general data integration experience e.g., common ETL tooling SQL experience Data profiling experience NICE TO HAVE PowerBI experience Data Cataloguing\Governance Cloud deployment experience ABOUT YOU Integrity, respect, intellectually curious and an More ❯

Data Analytics, Statistics) General Master Data Management (MDM) experience Experienced with Semarchy MDM Platform experience v5.0 Experienced with general data integration experience e.g., common ETL tooling SQL experience Data profiling experience NICE TO HAVE PowerBI experience Data Cataloguing\Governance Cloud deployment experience ABOUT YOU Integrity, respect, intellectually curious and an More ❯

data engineering and, in time, data science. A technical background will be important as you work directly with the existing Snowflake data warehouse, Matillion ETL processes, and Power BI dashboards, advising on code, reviewing output, and setting best practices. You will act as the go-to data leader for the More ❯

Data Analytics, Statistics) General Master Data Management (MDM) experience Experienced with Semarchy MDM Platform experience v5.0 Experienced with general data integration experience e.g., common ETL tooling SQL experience Data profiling experience NICE TO HAVE PowerBI experience Data Cataloguing\Governance Cloud deployment experience ABOUT YOU Integrity, respect, intellectually curious and an More ❯

growing finance user base, we invite you to join us! BASIC QUALIFICATIONS 3+ years of data engineering experience. Experience with data modeling, warehousing, and ETL pipeline development. Proficiency in SQL. PREFERRED QUALIFICATIONS Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles. Experience More ❯

data engineering and, in time, data science. A technical background will be important as you work directly with the existing Snowflake data warehouse, Matillion ETL processes, and Power BI dashboards, advising on code, reviewing output, and setting best practices. You will act as the go-to data leader for the More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more More ❯

problem sets based on their descriptions and by exploration of the data landscape. · Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs. · Build and edit operational workflows, including front ends and decision-support toolsets, inclusive More ❯

processes within related disciplines (e.g., data ingestion, data storage, data serving, APIs) Hands-on experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks) Practical experience in system design, application development, testing, and operational stability Ability to independently tackle design and functionality problems with minimal oversight Educational background More ❯

Disability/Veteran/Gender Identity/Sexual Orientation. BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational More ❯

Underwriting Datamart based on Databricks platform. Champion the adoption of Cloud computing for Underwriting, driving seamless integration and best practices. Develop and maintain automated ETL pipelines to increase efficiencies within the target operating model (TOM). Collaborate with Data Science and Data Program Manager to create, maintain, and enhance reports More ❯

with leading tools like dbt, Airflow, Snowflake, and cloud platforms. Key Responsibilities Design and manage data warehouses using SQL, NoSQL, and cloud platforms. Develop ETL/ELT pipelines using Airflow and dbt. Collaborate with stakeholders to deliver impactful solutions. Ensure data quality, security, and governance. About You Experience in analytics More ❯

warehouses (e.g., Snowflake, BigQuery, Redshift) Nice to Have Experience developing in BI tools like Looker or similar Practical understanding of version control systems SQL ETL/ELT expertise and experience managing script dependencies with DAGs Python skills, especially in automation and integrations Good knowledge of the Looker API Workplace & Diversity More ❯

making use of both quantitative analysis and business judgment. BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience More ❯

businesses and governments realize their greatest potential. Data Engineer II Responsibilities: Independently execute projects through design, implementation, automation, and maintenance of large-scale enterprise ETL processes for a global client base. Develop repeatable and scalable code that processes client data in an automated and efficient manner to ensure data availability More ❯