1 to 25 of 36 Apache Airflow Jobs in London

databases utilised in modern AI applications. Strong Python development skills. Data & Infrastructure: Experience with some of the following technologies is highly desirable: Frameworks & Infrastructure: Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch Databases: PostgreSQL MongoDB Vector databases such as Qdrant, Milvus, or pgvector Python Ecosystem: Pandas Polars ...

working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect Strong understanding of data warehousing and data modelling principles Excellent problem-solving skills with a delivery-focused mindset Comfortable ...

Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of Data Warehouse and Data Lake architectures. Experience with orchestration tools such as Airflow, ADF, or equivalent. Understanding of data governance, data quality, and security practices. Familiarity with CI/CD pipelines and version control tools. Preferred Skills ...

Data pipeline development and optimisation Lakehouse architectures ETL/ELT frameworks Enterprise data platform implementation Cloud Technologies (AWS) Experience with: Amazon S3 AWS Glue Apache Airflow IAM AWS Lambda (desirable) Data Architecture & Modelling Knowledge and practical experience of: Data Vault Kimball methodology Dimensional modelling Data warehousing principles Enterprise ...

processes and data pipeline development Experience working with cloud platforms such as AWS, Azure or GCP Knowledge of technologies such as Spark, Kafka, Airflow or similar Experience with databases, data modelling and data warehouse solutions Understanding of CI/CD, software engineering best practices and secure development Strong communication ...

Data pipeline development and optimisation Lakehouse architecture Data integration and ETL/ELT frameworks Data platform design and implementation Cloud Technologies AWS S3 Glue Airflow IAM Lambda (desirable) Data Modelling & Architecture Data Vault Kimball Data warehousing principles and best practices Dimensional modelling Enterprise data architecture concepts Modernisation Experience Experience ...

Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love it here Wondering what the salary for this role is? Just ...

maintaining scalable data pipelines and integrations. Developing robust ETL and data transformation processes to support analytics and reporting requirements. Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions. Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible … ideally within AWS. Data modelling, transformation and orchestration methodologies. Delivering high-quality, well-documented and thoroughly tested data solutions. Experience with Snowflake, DBT and Apache Airflow. Interest in AI and emerging technologies within the data engineering landscape. THE BENEFITS: You will receive a salary ...

Optimise Python performance through effective use of loops , vectorization , threading , and understanding of the Global Interpreter Lock (GIL) . Desirable Experience Experience with Kubeflow , Airflow , or dbt . Hands-on experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with ...

marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling (dimensional, entity-relationship, event-driven) Understanding ...

identify anomalies and ensure data integrity for use by commercial trading and analytics teams. Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar). Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture. Document data sources ...

initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Familiarity with Kafka concepts (producers ...

communication skills. Highly Desirable: Experience with Spark/PySpark. Familiarity with Azure Data Lake, Snowflake, or similar platforms. Knowledge of orchestration tools like Airflow or Azure Data Factory. Exposure to financial services environments. Experience supporting large-scale data transformation or migration programmes. What We're Looking For: A senior ...

Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure), GCP is a plus Why join High impact and ownership ...

Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure), GCP is a plus Why join High impact and ownership ...

preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing: Fact and dimension tables Star and snowflake schemas Aggregation layers and semantic models Data Migration & Mapping Demonstrated ...

tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience with Airflow, Fivetran or similar orchestration and integration tools. Strong Linux/Unix and Bash scripting skills. A solid understanding of data quality, governance, lineage and monitoring. ...

modern cloud based data platforms. Solid understanding of data modelling and data transformation principles. Ability to work effectively within collaborative engineering teams. Desirable Experience: Airflow Databricks Experience supporting AI or machine learning initiatives. Semantic layer experience. Exposure to Azure and multi cloud environments. Understanding of Inmon 3NF data modelling ...

notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform/Spacelift ...

learning services. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Knowledge of pipeline orchestration and data workflow tools such as Airflow, Dataform, or dbt. Experience delivering advanced measurement and modelling solutions, including marketing mix modelling, incrementality testing, causal impact analysis, attribution modelling, propensity modelling, churn ...

organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance ...

schemas to support business requirements Develop 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 …/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 sets and improving ...

enhancement programme. Investment Data Engineer, key skills: Strong commercial experience in Data Engineering, particularly using Snowflake Proven experience developing and maintaining workflows using Apache Airflow and DBT (Data Build Tool) Experience integrating and supporting Bloomberg data feeds, services or associated investment data solutions Strong SQL development and data … with minimal ramp-up time Strong analytical and problem-solving skills Excellent stakeholder communication and collaboration abilities Investment Data Engineer, Bloomberg, SQL, Python, DBT, Airflow Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

Backend Engineering background Experience building APIs and system integrations Experience working within complex, data-intensive environments Strong understanding of software engineering best practices Desirable Airflow Snowflake AWS Exposure to data warehousing and modern analytics platforms Experience supporting reporting, commercial analytics, or performance data solutions IDEAL BACKGROUND We're especially ...

schemas to support business requirements Develop 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 …/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 sets and improving ...