1 to 25 of 73 Apache Airflow Jobs in London

data platform and engineering capability as the business continues to scale its trading operations. They are looking for a Data Engineer with strong Apache Airflow experience to help design and build the pipelines that power trading, analytics and commercial decision-making. This is a great opportunity to join … platform and the opportunity to work with modern open-source technologies . What You’ll Be Doing Designing and building data pipelines orchestrated with Apache Airflow Developing ETL/ELT workflows in Python and SQL to process trading and operational data Building reliable, scalable data infrastructure to support ...

acceptable). Experience with NoSQL databases. Experience with vector databases used in modern AI systems. Strong programming experience in Python. Frameworks/Infrastructure:- Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch ...

governance, security, and regulatory compliance . Ability to work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI ...

concepts and best practices Familiarity with CI/CD processes and DevOps practices Preferred Qualifications Snowflake certifications (SnowPro Core, Advanced) Experience with orchestration tools (Airflow, Prefect, etc.) Knowledge of data governance and compliance frameworks Experience with real-time streaming tools (Kafka, Kinesis) Experience supporting BI tools such as Tableau ...

pipelines Proficiency with at least one cloud platform: Amazon Web Services (AWS) Microsoft Azure (Azure) Google Cloud Platform (GCP) Experience with orchestration tools (e.g., Apache Airflow) Experience with version control (e.g., Git) Solid understanding of data warehousing concepts and dimensional modeling To apply for this role please submit ...

/GCP beneficial) Strong data modelling knowledge Understanding of data governance and security best practices Ability to translate business needs into scalable solutions Desirable Airflow, dbt, Kafka, CI/CD, BI tools, governance platforms, financial services experience. Interested in building modern, enterprise-scale data platforms in a highly regulated ...

industry. Strong full-stack experience with Python , Java (Spring Boot) , React , SQL, and relational databases. Hands-on experience with modern data engineering tools (e.g. Airflow, Spark, Kafka, dbt, Snowflake or similar). Experience with cloud platforms , containerisation (Docker/Kubernetes) , and CI/CD pipelines . Solid understanding ...

Location: London, UK (3 Days/Week Onsite) Type: Fixed Term Contract (6 Months) Mandatory Skills Needed : SQL ( Advanced) , AWS Cloud (Glue,Ethena,EMR), Airflow, Kafka/Kenesis ,Python, Terraform DBT & Snowflake (Basic) AWS Data Engineer Design, develop, and maintain data pipelines for collecting, transforming, and loading data into ...

driving innovation in data engineering. Desirable Criteria Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives. Familiarity with: - Apache Airflow - Data modelling and metadata management Experience influencing enterprise data strategy and contributing to architectural governance. To apply for this position please submit ...

driving innovation in data engineering. Desirable Criteria Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives. Familiarity with: Apache Airflow Data modelling and metadata management Experience influencing enterprise data strategy and contributing to architectural governance. To apply for this position please submit ...

Skills & Experience Proven experience as a Data Engineer , BI Engineer , or similar role. Strong proficiency in SQL , Python , and modern data engineering frameworks (e.g., Airflow, dbt, Spark, etc.). Experience with cloud platforms such as AWS, Azure, or GCP. Solid understanding of data warehousing and ETL/ELT architecture. ...

data models and map various data sources to support downstream analytics. Pipeline Engineering: Build scalable ETL pipelines and data quality solutions using tools like Airflow, Luigi, or Azkaban. Codification: Translate intricate business logic into high-quality code using Python, Scala, or Java. Innovation: Evaluate and implement new technologies across ...

based data engineering, including Redshift, S3, IAM and related services Building and maintaining data pipelines using Python and SQL Orchestration tools such as Airflow Data modelling and warehouse architecture in modern cloud environments Git-based development and Infrastructure as Code (e.g. Terraform) Desirable experience includes exposure to regulated industries ...

working in fast-paced environments and able to contribute quickly without extensive onboarding. Nice to Have Experience with modern data stack tools (e.g., dbt, Airflow, etc.). Understanding of CI/CD pipelines and data infrastructure automation. Familiarity with data governance, security, and best practices in a cloud environment. ...

/CD for data pipelines. Good to have skills Although not essential, the following skills are desired by the client: Kafka/Kinesis, Airflow, CodePipeline. BI tools (Power BI/Tableau). Docker/OpenShift; metadata driven pipelines. 3-8+ years Data Engineering experience. Cloud data engineering ...

1classification ) Strong SQL&Python Hands-onETL/ELTexperience(e.g.,Matillion,Talend,Fivetran,ADF) Experiencewith Snowflake (AWS/Azure/GCPbeneficial) Strongdatamodellingknowledge Understandingofdatagovernanceandsecuritybestpractices Abilitytotranslatebusinessneedsintoscalablesolutions Desirable Airflow,dbt,Kafka,CI/CD,BItools,governanceplatforms,financialservicesexperience. Interestedinbuildingmodern,enterprise-scaledataplatformsinahighlyregulatedenvironment Applynow ...

Skills and Experience * Strong commercial experience working with AWS in production environments. * Proficiency in Python and SQL for data processing and orchestration. * Experience with Airflow for workflow management. * Knowledge of cloud data warehousing, ideally Redshift. * Experience with infrastructure as code and CI/CD tooling such as Terraform ...

Experienced building real pipelines — not just notebooks Curious about how financial systems actually work Bonus points for: Exposure to ML workflows Familiarity with dbt, Airflow, Docker Experience handling financial or semi-structured data Interest in LLM infrastructure and vector databases Finance background is not required. Intellectual horsepower and ownership ...

with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar. Experience integrating data from HRIS and talent systems (e.g., Workday, BambooHR, Greenhouse, Lever, HiBob, Personio). Ability to work with ...

Experience working with complex, multi source data environments, ideally including ecommerce and subscription data. Experience with data pipeline orchestrations tools such as Cloud Composer, Airflow or equivalent. Comfort working in fast moving environments with imperfect starting points. Ability to balance best practice with pragmatism and delivery speed. Strong communication ...

Familiarity with cloud-based data tools and modern data ecosystems. Understanding of data modeling, warehousing concepts, and best practices Nice-to-Have Experience with Airflow, dbt, or similar orchestration/modeling tools. Experience with BI tools Knowledge of GCP services (Cloud Storage, Dataflow, Pub/Sub, etc.). Social ...

technical expertise with mentoring, guidance, and collaboration across teams. Core technologies include: Google Cloud Platform (BigQuery, Dataflow, Dataproc, Data Fusion, Data Streams, Cloud Functions, Airflow/Composer), SQL, Python, CI/CD tooling About you You'll have 10+ years experience in Data Engineering Experience operating in a Lead ...

grade data pipelines for multiple internal teams. Develops and optimises central data models supporting analytics, ML, and operational workloads. Works with Databricks, AWS, dbt, Airflow, and Looker as part of a modern data stack. Leads complex technical initiatives and improves efficiency through CI/CD, observability, and tooling. Ensures ...

Time-series data experience (market data, telemetry, pricing, events) Streaming exposure (Kafka/Event Hubs/Kinesis) Experience with Temporal (or similar orchestrators like Airflow/Dagster/Prefect) Any exposure to AI agents/automation tooling 👉 Apply ...

Tech Stack Language: Expert-level Python and advanced SQL . Cloud: Extensive experience with GCP (BigQuery, Cloud Storage, Dataflow/PubSub, Cloud Composer/Airflow). Tools: Experience with data orchestration tools and version control (Git). Environment: Proficiency in building production-grade pipelines. What We’re Looking ...