leadership, ideally within fintech or cloud-native organisations (AWS preferred). Strong technical background in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking and More ❯
uphold data quality, security, and governance standards. Collaborate with teams to establish KPIs and core business metrics. Innovation & Future Tools (10%) Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or More ❯
uphold data quality, security, and governance standards. Collaborate with teams to establish KPIs and core business metrics. Innovation & Future Tools (10%) Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or More ❯
uphold data quality, security, and governance standards. Collaborate with teams to establish KPIs and core business metrics. Innovation & Future Tools (10%) Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or More ❯
uphold data quality, security, and governance standards. Collaborate with teams to establish KPIs and core business metrics. Innovation & Future Tools (10%) Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or More ❯
london (city of london), south east england, united kingdom
TGS International Group
uphold data quality, security, and governance standards. Collaborate with teams to establish KPIs and core business metrics. Innovation & Future Tools (10%) Explore and implement new tools (e.g. dbt, Fivetran, Airflow) to enhance data capabilities. Stay current with evolving trends in data engineering and BI. What They’re Looking For Technical Experience 7+ years’ experience across data engineering, analytics, or More ❯
knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project More ❯
knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project More ❯
knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project More ❯
knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project More ❯
knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project More ❯
london (city of london), south east england, united kingdom
LexisNexis Risk Solutions
knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project More ❯
knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project More ❯
knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project More ❯
london (city of london), south east england, united kingdom
LexisNexis Risk Solutions
knowledge of Python and SQL (experience with Snowflake highly desirable) Knowledge of BI tools such as Superset, Tableau , PowerBI or similar is desirable Knowledge of orchestration tools such as Airflow, DBT or Google Cloud Dataflow is a bonus Analytical and problem-solving skills, with a deep curiosity for fraud detection Excellent attention to detail to ensure quality of project More ❯
communicating customer insights Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc. Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines (e.g. Airflow, dbt) is a plus Soft Skills: Business-oriented thinker with strong communication skills Able to clearly explain complex models to non-technical audiences Skilled in stakeholder engagement and translating More ❯
pipelines. Implement and optimize automation processes using infrastructure-as-code (Terraform) Build and maintain data pipelines using Airflow. Manage our tech stack including Python, Node.js, PostgreSQL, MongoDB, Kafka, and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and resolving production issues. Contribute to the development of new services as More ❯
EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in cloud platforms (preferably Azure) and services such as Data Lake, Synapse, Event Hubs, and Functions. Authoring reports and dashboards with either open More ❯
experience in data engineering roles, preferably for a customer facing data product Expertise in designing and implementing large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in More ❯
business analysts and stakeholders, ensuring technical solutions meet business needs. Experience with data ingestion tools, like Fivetran. Advantageous Exposure to deploying applications with Kubernetes. Experience with Data Orchestrator tools (Airflow, Prefect, etc.) Experience with Data Observability tools (Montecarlo, Great Expectations, etc.) Experience with Data Catalog tools (Amundsen, OpenMetadata, etc.) Interview Process Call with the talent team Take home task More ❯
stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce More ❯
our platform. Take ownership of specific ML features or components and drive them from concept to production and iteration. Work with leading tools such as GCP Vertex AI, BigQuery, Airflow, and emerging ML technologies. Be a part of a friendly, diverse, innovative, international team and workplace that encourages learning and growth. Who you are: Experience working in a Data More ❯
on Sharing: Support accessibility to key business data for senior management What You ll Bring Technical ability • Relevant languages: Python, SQL etc. • Data Engineering/ETL skills: Pipeline Development: Airflow, Fabric, Azure, Logging, API Integra on: REST API, JSON Processing, Data Mapping, Validation & Quality Controls • Programs/Tech Stack: SSMS SQL Server Management Studio, Docker, ApacheAirflowMore ❯
on Sharing: Support accessibility to key business data for senior management What You’ll Bring Technical ability • Relevant languages: Python, SQL etc. • Data Engineering/ETL skills: Pipeline Development: Airflow, Fabric, Azure, Logging, API Integra on: REST API, JSON Processing, Data Mapping, Validation & Quality Controls • Programs/Tech Stack: SSMS – SQL Server Management Studio, Docker, ApacheAirflowMore ❯
