76 to 100 of 475 Apache Airflow Jobs in the UK

Experience building scalable data pipelines and distributed data platforms Knowledge of Kafka, Spark and modern data processing technologies Experience with orchestration tools such as Airflow, Dagster or Prefect Hands-on experience with Docker, Kubernetes and containerised deployments CI/CD experience with a focus on production ownership and reliability ...

. Strong technical knowledge of SQL and Python . Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing data pipelines, ETL/ELT processes and modern data models. Practical understanding of modern data architecture approaches, including ...

production-quality ETL/ELT pipelines and automated data workflows. Experience integrating heterogeneous data sources, databases and APIs. Experience with workflow orchestration tooling (e.g. Airflow, Dagster or dbt) for scheduling and operating production data pipelines. Good understanding of data quality, metadata, lineage, testing and reproducibility. Ability to evaluate technical ...

large- scale batch processing. Proven ability to deploy and maintain data infrastructure using Infrastructure as Code principles and tools such as Terraform. Experience with Airflow environment management and Docker. Experience contributing to an AI roadmap and evaluating AI tooling, including coding agents, for use within the development lifecycle. ...

analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue, EMR, Lambda, Aurora, Airflow, Terraform). Ensure data availability, integrity, and performance as the platform scales globally. Drive best practices in data quality, automated testing, anomaly detection ...

similar. Experience with MLOps practices such as model deployment, monitoring, versioning or model registries. Exposure to workflow orchestration or deployment tools such as Airflow, MLflow, Azure DevOps, GitHub Actions or similar. Experience in pricing, insurance, financial services or another regulated environment. Understanding of model governance, responsible AI or explainability. ...

Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). Strong knowledge of data security, compliance, and governance frameworks. Effective communication in English. Preferred Qualifications Experience in e‐commerce or consumer‐facing ...

CloudFormation). Cloud experience with AWS, Azure or GCP (networking, IAM, storage, compute), including secure architecture principles. Experience with data platforms and pipelines (Spark, Airflow, Kafka, dbt or similar) and working with large-scale datasets. Knowledge of model serving patterns (REST/gRPC, batch scoring, streaming inference ...

similar tools. Good understanding of cloud platforms such as GCP, AWS or Azure. Experience configuring orchestration of SQL and Python via Airflow or similar tools. Experience working with data pipelines, defining problems, crafting and launching solutions, and practicing continuous improvement. Experience with process improvement frameworks and/or project ...

years in a team leadership or mentorship role. Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks. Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.Experience with cloud data platforms (e.g. ...

working knowledge Nice-to-have Databricks → AWS (or cross-platform) migration experience — the single strongest signal Parity/statistical testing methodology Data orchestration (Airflow, dbt, Step Functions) Data governance & compliance (PII/GDPR); regulated industry background (iGaming strongly preferred, but FS, banking considered) Soft skills Comfortable working ...

working knowledge Nice-to-have Databricks → AWS (or cross-platform) migration experience — the single strongest signal Parity/statistical testing methodology Data orchestration (Airflow, dbt, Step Functions) Data governance & compliance (PII/GDPR); regulated industry background (iGaming strongly preferred, but FS, banking considered) Soft skills Comfortable working ...

working knowledge Nice-to-have Databricks → AWS (or cross-platform) migration experience — the single strongest signal Parity/statistical testing methodology Data orchestration (Airflow, dbt, Step Functions) Data governance & compliance (PII/GDPR); regulated industry background (iGaming strongly preferred, but FS, banking considered) Soft skills Comfortable working ...

working knowledge Nice-to-have Databricks → AWS (or cross-platform) migration experience — the single strongest signal Parity/statistical testing methodology Data orchestration (Airflow, dbt, Step Functions) Data governance & compliance (PII/GDPR); regulated industry background (iGaming strongly preferred, but FS, banking considered) Soft skills Comfortable working ...

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 Things to note Just to let you know, we are dog friendly company ...

Versatility: Fluency in data processing languages (Python, SQL, PySpark) and an open-minded approach to tech stacks—ranging from SSIS and stored procedures to Airflow, Spark, Databricks, or Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) alongside a curiosity to learn ...

senior or lead-level technical role. Deep expertise in Google Cloud Platform: BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow) as the primary data platform stack. Advanced Python and SQL skills, including writing performant, production grade code and conducting rigorous code reviews. Proven experience designing ...

Kanban. Strong analytical and problem‐solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non‐technical audiences. What we offer ...

Kanban. Strong analytical and problem-solving skills, with a focus on delivering high-quality solutions. Experience with modern data engineering tools such as Airflow, dbt, Dataform, or similar technologies. Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences. Unfortunately ...

pipelines. Knowledge graphs, ontologies, RDF, linked data or advanced semantic technologies. Databricks or cloud architecture/data-engineering certification. Tools such as dbt, Kafka, Airflow, Terraform, Power BI, Tableau, Collibra or Microsoft Purview. Architecture across multiple products, domains or business units in B2B software, information services, consulting or regulated ...

data platforms (AWS, GCP, or Azure) Technical credibility with data engineering practices: strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability ...

data engineering, with demonstrated expertise in designing and implementing scalable, flexible modern data architectures Experience building modern data lake/lakehouse architectures (e.g., Apache Iceberg) in cloud environments Strong knowledge of AWS (S3, Redshift) or Azure data services Experience with ETL/ELT processes and data ingestion Proven expertise … using transformation tools such as dbt Experience with data pipeline orchestration tools (such as Apache Airflow) Experience with best practices applied to data (e.g., testing, CI/CD) Advantageous Experience developing dashboards and reporting solutions using data visualization tools such as Power BI or Amazon QuickSight Experience with ...

management, and quality assurance.Collaboration: Engage with business and technology teams to align the platform with organizational goals.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions … .Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.Metadata Tools: Experience with tools like Amundsen, Atlas ...

Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command ...

implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflake and hands‐on experience with Python, PySpark, AWS, and Airflow for building scalable, high-performance data platforms. The role demands strong technical leadership, problem‐solving capabilities, and the ability to collaborate effectively with cross‐functional ...