1 to 25 of 57 Remote/Hybrid Databricks Jobs in London

solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model ...

doing Help shape and deliver a refreshed data strategy and analytics platform Build reliable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Design and optimise core data models, dimensional, analytics-ready, built to last Create trusted data products enabling self-service analytics Improve data quality ...

doing Help shape and deliver a refreshed data strategy and analytics platform Build reliable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar Design and optimise core data models, dimensional, analytics-ready, built to last Create trusted data products enabling self-service analytics Improve data quality ...

advanced analytics, data science, machine learning and data engineering. - Experience designing secure, scalable data solutions using platforms such as Azure, Data Factory, Synapse, Databricks or Fabric. - Strong proficiency in Python, SQL and/or R, and confidence in developing data pipelines and operationalising models. - Excellent communication and stakeholder engagement skills ...

exposure, mark-to-market). Technical & Data Skills Strong proficiency in Python, especially Pandas for data preparation and analysis. Solid SQL skills (Databricks SQL advantageous) for manipulating structured datasets. Understanding of data modelling, including ERDs, object models, lifecycle concepts, and relational modelling. Experience using data APIs, Python libraries, and handling ...

practices, including ETL/ELT, data warehousing and data modelling. - Expertise in cloud data platforms, ideally Azure services such as Data Factory, Synapse, Databricks, Spark or Snowflake. - Proficiency in Python, SQL and other relevant languages for building pipelines and enabling automation. - Experience building and managing production data services, integrating data ...

Experience Required Strong experience in a senior or lead data engineering role Deep hands-on experience with Azure data services (e.g. Data Factory, Synapse, Databricks, Azure SQL, ADLS) Proven use of Terraform to provision and manage cloud infrastructure Solid understanding of data modelling, ETL/ELT patterns, and large-scale ...

Tableau (desirable). Nice to Have Experience with cloud platforms , particularly Microsoft Azure . Knowledge or hands-on experience with Azure Data Factory and Databricks . Experience with risk or trading systems such as Murex or Calypso . Key Focus Areas Strong understanding of banking and capital markets data domains ...

would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowfake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components ...

would be beneficial but is by no means essential. Interested candidates must have experience in a similar role with MS Azure Data Platforms, Synapse, Databricks or other Cloud platforms such as AWS, GCP, Snowfake etc. Key Responsibilities will include; Design, implement, and optimize end-to-end solutions using Fabric components ...

data structures, data quality challenges, and how to design reliable transformation logic ·Experience working with modern data platforms such as Azure, GCP, AWS, Databricks, Snowflake, or similar ·Confidence working with imperfect data and making it fit for consumption downstream ·Experience supporting or mentoring other engineers through code reviews, pairing ...

Ideally consultancy experience with confidence in client-facing work Knowledge of data architecture and data modelling principles Exposure to Power BI (experience with Databricks or Python is a bonus) Interested? If these roles sound like a good match, click Apply Now. I will get in touch to talk through both ...

enabling colleagues. Skills and Experience The successful AI Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud ...

must have. Relevant data or AI qualification (e.g. CDMC, DAMA, DCAM, ISACA ) Hands-on experience with data and AI platforms such as Snowflake, Databricks, Microsoft Purview, Collibra, Informatica, or AWS Experience with data analytics tools such as Alteryx, Tableau, Power BI, SQL , etc. Two stage interview process to start ASAP. ...

Data Scientist: Experience with deep learning frameworks advanced modelling techniques Familiarity with MLOps concepts model monitoring deployment pipelines Exposure to tools such as Databricks MLflow feature stores Experience working in Agile product-led delivery environments Understanding of data governance ethics model explainability Relevant professional certifications relating to cloud data platforms ...

implementing data-intensive systems. Proficient in Java, Scala, or Python for software development. Experience with ETL/data-processing platforms (e.g., Informatica, Azure Databricks) and advanced SQL. Strong understanding of distributed data stores, frameworks, and data modelling for analytical and operational use cases. Ability to communicate complex technical designs clearly ...

maintains production-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. ...

statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks and Snowflake is advantageous Knowledge of Bulk Purchase Annuities (BPA) is beneficial but not essential Experience with data visualisation tools and BI platforms ...

statistics Proven experience in data modelling (relational and dimensional) Advanced SQL and Python skills Experience working with complex, large-scale data environments Experience with Databricks and Snowflake is advantageous Knowledge of Bulk Purchase Annuities (BPA) is beneficial but not essential Experience with data visualisation tools and BI platforms ...

skills in data engineering contexts. Experience building and maintain production data pipelines. Experience working with SQL and data-engineering environments such as Databricks or Spark. Ability to work closely with non-engineering stakeholders and translate business needs into data models. Desire to become an expert in all facets ...

driven prioritisation A strategic, outcome-focused mindset with a passion for continuous improvement Nice to Have Hands-on experience with platforms such as Azure, Databricks, Microsoft Purview, SnapLogic, Power BI, or similar Exposure to enterprise-scale integration and pipeline platforms Experience leading cross-functional teams across technology, business, and governance ...

Lead Data Architect , not solution or enterprise architecture Deep, practical experience across the Azure data stack (for example Azure Data Factory, Synapse, Fabric, Databricks, Data Lake, SQL) Strong background in data modelling , analytics architecture, and large-scale data platforms Experience leading data architecture resets or remediation programmes Excellent verbal ...

frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

overcome technical challenges You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Machine Learning Engineer (Python AWS) you will ...

required: Proven operational leadership for large-scale data platforms. Expertise in incident management, SLA enforcement, and stakeholder communication. Hands-on experience with Azure Synapse, Databricks, ADF, Power BI. Familiarity with CI/CD and automation. Strong FinOps mindset and cost management experience. Knowledge of monitoring and observability frameworks. Salary ...