privacy, and security, ensuring our AI systems are developed and used responsibly and ethically. Tooling the Future: Get hands-on with cutting-edge technologies like Hugging Face, PyTorch, TensorFlow, Apache Spark, ApacheAirflow, and other modern data and ML frameworks. Collaborate and Lead: Partner closely with ML Engineers, Data Scientists, and Researchers to understand their data needs … their data, compute, and storage services. Programming Prowess: Strong programming skills in Python and SQL are essential. Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as ApacheAirflow or Prefect. ML Data Acumen: Solid understanding of data requirements for machine learning models, including feature engineering More ❯
computing, with experience using frameworks like Databricks Strong experience with Azure or other cloud platforms (AWS) Strong experience building data pipelines or ETL tools and Orchestration frameworks such as Airflow Strong experience and appreciation of CI/CD implementation Good experience with implementing automated testing Good experience with Infrastructure as Code with Terraform Strong understanding of Agile delivery methodologies More ❯
data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools (Airflow, dbt, Prefect, or similar). Benefits: Unlimited holiday Annual Wellbeing Allowance Flexible work culture Monthly socials and events Complimentary snack bar Employer pension contribution If you're a data More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Office Angels
data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools (Airflow, dbt, Prefect, or similar). Benefits: Unlimited holiday Annual Wellbeing Allowance Flexible work culture Monthly socials and events Complimentary snack bar Employer pension contribution If you're a data More ❯
Tech Stack Cloud: Azure, sometimes GCP & AWS Data Platform: Databricks, Snowflake, BigQuery Data Engineering tools: Pyspark, Polars, DuckDB, Malloy, SQL Infrastructure-as-code: Terraform, Pulumi Data Management and Orchestration: Airflow, dbt Databases and Data Warehouses: SQL Server, PostgreSQL, MongoDB, Qdrant, Pinecone GenAI: OpenAI APIs, HuggingFace, LangChain, Talk-to-data Monitoring: Datadog About You We are looking for someone who More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
experience in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data projects in agile, cross-functional teams. Nice-to-haves: Background in More ❯
record of building and managing talent pipelines in competitive markets. Technical Understanding Solid grasp of modern tech stacks including Python, React.js, cloud platforms (AWS, Azure), and data tools (dbt, Airflow, Snowflake) from a recruitment perspective. Ability to assess technical skills through structured interviews and practical assessments. Understanding of software development practices, agile methodologies, and DevOps culture. Familiarity with AI More ❯
members to deliver outcome Highly motivated, with strong problem-solving skills and business acumen Desirable Skills Experience with data visualization tools (e.g., Looker, Tableau, Power BI) Familiarity with dbt, Airflow, or other modern data tools Exposure to marketing or e-commerce industries Additional Information Publicis Groupe operates a hybrid working pattern with full time employees being office-based three More ❯
applicable. Essential Skills & Experience Proven experience owning and operating production data platforms within AWS. Strong understanding of AWS core services: EventBridge, Lambda, EC2, S3, and MWAA (Managed Workflows for ApacheAirflow). Experience with infrastructure reliability, observability tooling, and platform automation. Solid experience with CI/CD pipelines, preferably Bitbucket Pipelines. Familiarity with Snowflake administration and deployment practices. More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
ideally within consumer tech, logistics, or e-commerce. Strong proficiency in Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. Excellent communication skills and ability to work independently in a fast-paced environment. Why Join? Be part More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Method Resourcing
contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform More ❯
Scala, or in a language such as Java or Python that supports a quick transition to Scala Working with big data technologies, ideally Spark, but experience with tools like Airflow or Elasticsearch is also valuable Manipulating and transforming data - cleansing, parsing, standardising - to improve data quality and integrity Why join Quantexa? Our perks and quirks. What makes you Q More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
on development/engineering background Machine Learning or Data background Technical Experience: PySpark, Python, SQL, Jupiter Cloud: AWS, Azure (Cloud Environment) - Moving towards Azure Nice to Have: Astro/Airflow, Notebook Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯
passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
passion for new technologies Experience in startups or top-tier consultancies is a plus Nice to Have (not essential): Familiarity with dashboarding tools, Typescript, and API development Exposure to Airflow, DBT, Databricks Experience with ERP (e.g. SAP, Oracle) and CRM systems What's On Offer: Salary: £50,000-£75,000 + share options Hybrid working: 2-3 days per More ❯
South East London, London, United Kingdom Hybrid / WFH Options
Anson Mccade
Engineer for our client within defence/digital transformation. The ideal candidate will be able to solve data engineering problems independently whilst delaing with non-technical SMEs. Requirements: Python, Airflow, Glue & Informatica. SC cleared Details: 6 months Outside IR35 Hybrid/London ASAP start date If this role is of interest, please get in touch. Reference: AMC/DJA More ❯
network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis UK
network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis UK
network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis UK
network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications: MSc or PhD in Computer Science, Machine Learning, or related field. Experience More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
. Ability to collaborate effectively with senior engineers, data scientists, and architects. Proactive, detail-oriented, and eager to contribute within a greenfield project environment. Nice to Have: Experience with Airflow/Astro . Prior work with notebook-based development environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
Experience in ELT processes and best practices for cloud-based data warehousing. Knowledge of performance tuning techniques for optimising BigQuery queries and costs. Familiarity with cloud services (GCP, Terraform, Airflow, etc.) and their integration with BigQuery. HOW TO APPLY Please register your interest by sending your CV via the apply link on this page. More ❯
