76 to 100 of 477 Apache Airflow Jobs in the UK

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 ...

Following Distributed computing technologies such as Spark and Databricks Cloud platforms including AWS, Azure, or GCP Workflow orchestration tools such as Airflow CI/CD, version control, and infrastructure as code Experience within financial services, consulting, or risk environments What’s on Offer Opportunity to make an impact from ...

Areas Such As KYC AML Transaction Monitoring Screening Risk Ratings Compliance Case Management Strong data governance, lineage and data quality experience Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling CI/CD, Git and modern engineering practices Strong stakeholder engagement and communication skills #J-18808-Ljbffr ...

Senior Data Engineer: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end-to-end data modelling experience Experiencebuilding batch and real-time data integrations Hands-onCICD skills with Git, Jenkins or similar Abilityto ...

areas such as: KYC AML Transaction Monitoring Screening Risk Ratings Compliance Case Management Strong data governance, lineage and data quality experience Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling CI/CD, Git and modern engineering practices Strong stakeholder engagement and communication skills Why Apply? Opportunity ...

/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure, or Google Cloud) and curiosity to learn others. Bridging ...

automated testing and data quality practice. A collaborative mindset and a genuine interest in building things well. Desirable Experience with orchestration tools such as Airflow, Dagster, Prefect or Azure Data Factory. Experience working within AWS, Azure, GCP or another enterprise cloud ecosystem. Experience with complex customer, transactional, digital ...

field. Strong SQL skills and a good understanding of data modelling principles. Experience with data transformation tools (e.g. dbt, Spark) and workflow orchestration (e.g. Airflow or similar). Familiarity with cloud-based data platforms, ideally AWS. Understanding of data pipeline design and ETL/ELT patterns. Exposure to streaming ...