1 to 25 of 2,886 Remote/Hybrid Python Jobs in England

architectures that power intelligent decision‐making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real‐time streaming pipelines and event‐driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using ...

Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration ...

enterprise-scale Databricks implementation from design through production deployment. Proven experience developing and supporting production-grade data pipelines and data products. Strong proficiency in Python or Scala for data engineering. Experience working directly with business and technical stakeholders to gather requirements and communicate solution approaches. Strong analytical, problem-solving ...

Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics and Azure Functions Experience consuming APIs and working with JSON or XML Knowledge of Python, C# or PowerShell Experience with Git repositories and branching strategies Knowledge of Infrastructure as Code and DevOps tooling, including Bicep, YAML and CI/ ...

reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You've got a background in software engineering, including Front End technologies like JavaScript. You're a problem-solver, pragmatically exploring ...

grade code, contribute to secure platform patterns, and ensure that your data services run predictably in tightly governed Defence environments.* **Core Engineering** Expert level Python and strong foundations in software engineering such as object oriented design, automated testing and version control.* **Data Engineering Stack** Experience building pipelines using streaming frameworks ...

reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring ...

including Lakehouse, Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services, including ADF, ADLS Gen2, Azure Synapse Analytics A strong background in Python and SQL development Proven experience building batch and streaming data pipelines Experience implementing Medallion Architecture and Lakehouse patterns Strong understanding of data modelling techniques (dimensional ...

embedded into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

analytical requirements into engineered solutions What we need from you 8+ years in data engineering, including 3+ years hands on with Azure Databricks Strong Python and PySpark, backed by advanced SQL Deep grounding in data warehousing, data modelling and integration patterns Unity Catalog and Delta Lake in a production environment ...

reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You’ve worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring ...

hear from you if you have: 4+ years’ experience across data and analytics, including data engineering, data science, and data visualisation: Proficiency in Python, SQL, and R for data manipulation and querying Familiarity with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON ...

voice in a small data team. Strong experience with the AWS data stack: S3, Lambda, RDS, DMS, EventBridge, SQS, Step Functions, CloudWatch Proficient in Python and SQL (Go would be advantageous) Experience with data orchestration and workflow management (e.g. Airflow or AWS- native solutions). Good understanding of data modelling ...

across disciplines and collaborate effectively in multi-functional teams. A strategic approach to problem-solving and technical decision-making. Core Areas (must have) Strong Python and SQL skills Experience with ETL flows, data pipelines, and orchestration tools Understanding of database architecture (SQL and NoSQL) Experience with cloud technologies Experience with ...

principles (fact/dimension design) and strong BI development skills (e.g., Power BI, semantic model design, DAX). Hands‐on experience with languages like Python to automate data workflows and solve problems beyond standard GUI tooling. Proven ability to introduce and sustain Agile delivery practices, backlog management, and effort estimation ...

deliver improvements. What you will bring: Strong experience within engineering, automation, DevOps, reporting or operational improvement roles. Scripting and development expertise using PowerShell, Python or similar languages. Experience building automation workflows and repeatable technical processes. Azure DevOps experience including repositories, pipelines, version control and release processes. Strong understanding ...

able to demonstrate: Experience working as a Data Engineer, Data Developer, AI Engineer, Machine Learning Engineer or similar . Strong programming skills in Python and SQL . Experience designing and building scalable data pipelines and working with structured and unstructured data. Experience leading technical workstreams or taking ownership of significant ...

data lakes, data warehouses and lakehouse architectures. Good understanding of data governance, data quality and data management frameworks. Strong SQL skills and experience using Python or PySpark. Experience with Databricks and Microsoft data technologies. Understanding of how modern data platforms support AI and machine learning workloads. Strong workshop facilitation, communication ...

sharing within the wider team. Required Skills & Qualifications 3+ years of hands‐on experience in a data engineering role Strong proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema), and data modelling. ...

with Microsoft Fabric Data Factory Experience with Lakehouse architectures Experience with PowerShell automation Experience with CI/CD pipelines and automated deployments Experience with Python for data engineering or analytics An understanding of data warehousing principles and methodologies is preferable Experience developing ETL/ELT processes Knowledge of Microsoft Fabric ...

need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands ...

practices and AI tooling.**Required Qualifications & Skills*** Extensive hands-on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production-grade systems in a financial services environment.* Hands-on experience building and deploying AI or Machine ...

Engineering. Experience in solving engineering or real world problems using data solutions. Demonstrable interest in the fields of data analytics and software Proficiency in Python programming language and common data science packages. Experience with data engineering tools (e.g. Apache Spark, AWS Glue, Kinesis, Snowflake, Apache Airflow) Experience in building data ...

engineering practices and AI tooling. Required Qualifications & SkillsExtensive hands-on software engineering experience at Vice President level or equivalent, with a strong foundation in Python or Java and a track record of delivering production-grade systems in a financial services environment. Hands-on experience building and deploying AI or Machine ...

Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.* Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark.* Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such ...