76 to 100 of 115 Apache Airflow Jobs in England

complex datasets. You can write optimized SQL queries to extract "financial truth". Exposure to other technical skills considered a plus (Dbt, Python, Airflow, BI tools). Foundational Finance Literacy: You don’t need to have a finance/accounting background, but you are comfortable with basic financial concepts. ...

environments and know how to bring out the best in people. Technically strong: You're comfortable with modern data stacks like Databricks, Spark, Airflow, SQL and Python - and you can go deep when needed. Cloud-savvy: You understand distributed systems and cloud platforms, and how to make them work ...

Python, Bash, Ansible, Puppet) Familiarity with containerisation (Docker, Kubernetes) Nice to have: Experience with CI/CD pipelines (GitLab, Jenkins) Exposure to data tooling (Airflow, NiFi, Elasticsearch) Experience with Cloudera/Hadoop ecosystems (Spark, Hive, HDFS) Why join? Work on modern data platforms at scale Collaborate with data scientists ...

Data Engineer – FinTech – Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle ...

designing and developing scalable data pipelines Proficiency in SQL, Python, Databricks and/or Azure technologies Experience working with tools such as Git and Airflow Strong troubleshooting skills with the ability to test, maintain and improve data platforms A proven track record of delivering high-quality, dependable data solutions ...

happens next. Technical Mastery : You bring expert-level SQL skills and are fully comfortable building and maintaining your own robust data pipelines using dbt, Airflow, and Snowflake. Beyond querying, you use Python for advanced automation and forecasting, and you apply statistical rigor (e.g., Bayesian statistics, causal inference) to solve ...

We are recruiting for an Analytical Engineer on behalf of one of the UK's most recognised and celebrated personal lines insurers. The successful candidate will be working alongside a talented team of Data & AI ...

Ensure solutions meet security, compliance, and regulatory standards Key Skills Required: Experience in solution design/architecture Strong background in big data tools (Spark, Airflow, Trino, etc.) Knowledge of cloud platforms (AWS/Azure/GCP) Understanding of cybersecurity principles (IAM, encryption, secure design) Ability to work hands ...

data and performance insights What We're Looking For Strong background in data analytics Advanced SQL skills and experience building data pipelines (e.g. DBT, Airflow) Experience with marketing analytics tools (e.g. Google Analytics, GTM, Braze, Appsflyer, Firebase) Proven experience running A/B tests and defining KPIs and attribution ...

have experience with: AWS and cloud-native technologies Snowflake or similar cloud data platforms PostgreSQL and modern data architectures Data orchestration tools such as Airflow, Prefect or similar Amazon S3 Event-driven architectures and distributed systems Building scalable engineering solutions using APIs and multiple data sources You'll understand ...

commercial experience in analytics within a marketing or digital environment Advanced SQL skills and experience building data pipelines with tools such as DBT or Airflow Experience with marketing analytics platforms such as Google Analytics, GTM, Braze, Appsflyer, or Firebase Strong understanding of experimentation, A B testing, and attribution modelling ...

Service Meshes etc.) Experience with configuration management tools (Ansible/Puppet/Kapitan/Terraform) Experience with distributed data platforms (Kafka/Flink/Airflow) Comfortable using cloud native and containerisation technologies (Kubernetes/Docker) Good Linux systems knowledge (experience with RHEL desirable) Broad knowledge across network technologies, server ...

than one-off scripts or analysis tooling. Strong Python development skills, with experience building performant, maintainable applications. Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect. Understanding of retries, dependency management, idempotency, backfills, and operational recovery. Experience with analytical or columnar databases such as ClickHouse or similar ...

influence stakeholders across multiple regions. Technical Environment Experience across some of the following technologies is advantageous: AIops and enterprise automation frameworks Workflow orchestration platforms (Airflow, Argo, Prefect) Configuration and automation tools (Ansible, Salt, Puppet) ITSM and ITOM platforms Event-driven automation and runbook-as-code approaches Messaging technologies such ...

building and leading a team of engineers working in a related system. Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc. Ability to attract, hire, and coach engineers who meet the Databricks hiring standards – can up‐level existing team ...

building and leading a team of engineers working in a related system. Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc. Ability to attract, hire, and coach engineers who meet the Databricks hiring standards – can up‐level existing team ...

hubs. Whether your background is rooted in core Observability platforms (Opensearch/Elastic/Splunk/OpenTelemetry) or high-scale Data Engineering (Kafka, Python, Airflow, OpenSearch/Lucene), your core mission is the same: transforming billions of raw event logs into actionable, secure streaming telemetry. Should be able … managing telemetry collectors (OpenTelemetry/OTel, Beats, Prometheus). Experience in designing and scaling data pipelines for high-velocity telemetry. Essential expertise in Apache Kafka, Logstash, or streaming/orchestration frameworks (Airflow, Vector, Debezium). Hands-on experience architecting scalable, containerized solutions using Kubernetes (K8s), Docker, and infrastructure ...

This is a great opportunity to contribute greatly to an extremely engineering-focused organization and further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform, Google Cloud Platform, etc; You will own engineering efforts to provide partner teams within the organisation with data sources that build … opportunity for the role to go permanent. What You'll Do: Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow; Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality ...

responsibilities: Building and maintaining data pipelines and services under the guidance of senior engineers. Working with technologies such as Python, SQL, Spark, and Airflow to process large-scale data. Using AI-assisted development tools such as Claude Code, Copilot, or Codex as part of your workflow. Contributing … Basic understanding of data engineering concepts including batch processing and relational databases. Some hands-on experience with data pipeline tools; exposure to Spark or Airflow is a plus. Familiarity with cloud platforms (preferably AWS); production experience is not required. A collaborative mindset and willingness to learn and communicate openly ...

your initiative and get on with resolving it! From a tech perspective, it would be most excellent if youve come from an AWS, Apache AirFlow, Python, Spark type of environment and understand these technologies (or alternatives) and what they do. Youll still be considered if youve not used ...

Develop batch and ELT/ETL data workflows for ingesting and processing large datasets Work with technologies such as Python, Java, Spark, SQL, and Airflow Apply good software engineering practices, including testing, documentation, and CI/CD Contribute to cloud‐based systems (AWS), focusing on reliability, monitoring, and automation … data engineering concepts such as data lakes, batch processing, and distributed systems Experience building or operating data pipelines using tools like Spark and Airflow Familiarity with cloud platforms (AWS preferred) and production monitoring Clear communication skills and a collaborative approach to problem‐solving. Why join us? Join our team ...

integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time … robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...

integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time … robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). ...

manage data models, schema structures and data reconciliation processes across multiple source systems. Build, maintain and improve orchestration frameworks using tools such as Airflow and dbt. Develop APIs from scratch to support data access, integration and product functionality. Work closely with AI engineers, machine learning specialists and software developers … schema management principles. Experience creating and maintaining APIs from the ground up, rather than simply integrating with existing APIs. Hands-on experience using Airflow, dbt or similar orchestration and transformation tools. Experience working with large, complex and varied datasets. Not the Right Fit If Your background is heavily focused ...

focus areas: Building scalable data pipelines using Apache Spark & Airflow Working within a cloud-based, containerised environment (Kubernetes) Contributing to a wider data platform modernisation programme Supporting both batch and streaming workloads Tech: Python, Java, Spark, Airflow, SQL, Cloud (AWS/Azure), Kubernetes (Kafka/streaming nice ...