Wakefield, Yorkshire, United Kingdom Hybrid / WFH Options
Flippa.com
/CD) automation, rigorous code reviews, documentation as communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building More ❯
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're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured More ❯
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're a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured More ❯
Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark, Spark SQL. Good working knowledge of data warehouse and data mart architectures. Good experience in Data Governance, including Unity Catalog, Metadata Management, Data Lineage More ❯
various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth More ❯
Greater Bristol Area, United Kingdom Hybrid / WFH Options
Peaple Talent
various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth More ❯
various departments to gather requirements and ensure data solutions reflect real business needs. Key Experience Required: Deep expertise in SQL, Python, and Spark (particularly PySpark) for building and testing end-to-end pipelines in that process both structured and semi-structured datasets. Experience mentoring peers and supporting team growth More ❯
to store and process data. Document workflows, pipelines, and transformation logic for transparency. Key Skills & Experience: Strong hands-on experience in Python (Pandas, NumPy, PySpark). Experience building ETL/ELT processes. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Snowflake, Databricks). Understanding of More ❯
to store and process data. Document workflows, pipelines, and transformation logic for transparency. Key Skills & Experience: Strong hands-on experience in Python (Pandas, NumPy, PySpark). Experience building ETL/ELT processes. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Snowflake, Databricks). Understanding of More ❯
to store and process data. Document workflows, pipelines, and transformation logic for transparency. Key Skills & Experience: Strong hands-on experience in Python (Pandas, NumPy, PySpark). Experience building ETL/ELT processes. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Snowflake, Databricks). Understanding of More ❯
to Octopus offices across Europe and the US. Our Data Stack: SQL-based pipelines built with dbt on Databricks Analysis via Python Jupyter notebooks Pyspark in Databricks workflows for heavy lifting Streamlit and Python for dashboarding Airflow DAGs with Python for ETL running on Kubernetes and Docker Django for More ❯
machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL More ❯
machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL More ❯
and external (eBay APIs) sources Define data quality rules, set up monitoring/logging, and support architecture decisions What You Bring Strong SQL & Python (PySpark); hands-on with GCP or AWS Experience with modern ETL tools (dbt, Airflow, Fivetran) BI experience (Looker, Power BI, Metabase); Git and basic CI More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
Bounce Digital
and external (eBay APIs) sources Define data quality rules, set up monitoring/logging, and support architecture decisions What You Bring Strong SQL & Python (PySpark); hands-on with GCP or AWS Experience with modern ETL tools (dbt, Airflow, Fivetran) BI experience (Looker, Power BI, Metabase); Git and basic CI More ❯
data platforms using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of data engineering concepts, including ETL, data warehousing, and cloud storage Strong communication skills with the ability to collaborate across More ❯
data platforms using Google Cloud Platform Hands-on experience with GCP tools: BigQuery, Dataform, Dataproc, Composer, Pub/Sub Strong programming skills in Python, PySpark , and SQL Deep understanding of data engineering concepts, including ETL, data warehousing, and cloud storage Strong communication skills with the ability to collaborate across More ❯
as Data Factory, Databricks, Synapse (DWH), Azure Functions, and other data analytics tools, including streaming. Experience with Airflow and Kubernetes. Programming skills in Python (PySpark) and scripting languages like Bash. Knowledge of Git, CI/CD operations, and Docker. Basic PowerBI knowledge is a plus. Experience deploying cloud infrastructure More ❯
added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks More ❯
initiatives Key Requirements of the Database Engineer: Proven experience with Databricks, Azure Data Lake, and Delta Live Tables Strong programming in Python and Spark (PySpark or Scala) Solid knowledge of data modelling, warehousing, and integration concepts Comfortable working in Agile teams, with CI/CD and Azure DevOps experience More ❯
initiatives Key Requirements of the Database Engineer: Proven experience with Databricks, Azure Data Lake, and Delta Live Tables Strong programming in Python and Spark (PySpark or Scala) Solid knowledge of data modelling, warehousing, and integration concepts Comfortable working in Agile teams, with CI/CD and Azure DevOps experience More ❯
Somerset, England, United Kingdom Hybrid / WFH Options
CA Tech Talent
initiatives Key Requirements of the Database Engineer: Proven experience with Databricks, Azure Data Lake, and Delta Live Tables Strong programming in Python and Spark (PySpark or Scala) Solid knowledge of data modelling, warehousing, and integration concepts Comfortable working in Agile teams, with CI/CD and Azure DevOps experience More ❯
System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space. Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Stakeholder Management Expertise in relational and dimensional modelling, including big data technologies. Exposure across all the SDLC process, including testing and deployment. More ❯
cloud environments to support ambitious data initiatives and future projects. IT Manager - The Skills You'll Need to Succeed: Mastery of Databricks, Python/PySpark, and SQL/SparkSQL. Experience in Big Data/ETL (Spark and Databricks preferred). Expertise in Azure. Proficiency with version control systems (Git More ❯
Engineering. Develop customer relationships and build internal partnerships with account executives and teams. Prior experience with coding in a core programming language (i.e., Python, PySpark, or SQL) and willingness to learn a base level of Spark. Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs More ❯
