understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
data modelling, ETL processes, and data warehousing concepts. 5. Proficiency in statistical analysis, data mining, and machine learning techniques. 6. Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7. Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. 8. Strong analytical, problem-solving, and critical thinking skills. 9. Experience with More ❯
City of London, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Azure, Snowflake and Terraform is advantageous Experience of knowledge of containers such as Docker and Kubernetes is advantageous Familiarity with at least one programming language (e.g. Python, Java, or Scala) Proven experience of data warehousing concepts and ETL processes Strong analytical skills and attention to detail Excellent verbal and written communication skills in English is essential Airline experience is advantageous More ❯
like Delta or Iceberg. Strong experience with Azure services such as Synapse Analytics, Data Factory, Data Lake, Databricks, and others. Proficiency in Spark, SQL, and programming languages like Python, Scala, or Java. Experience in building Lakehouse architectures using open-source table formats and tools like Jupyter Notebook. Understanding of security best practices, including Azure Key Vault, IAM, RBAC, and monitoring More ❯
table formats such as Delta or Iceberg. Strong experience with Azure services including Synapse Analytics, Data Factory, Data Lake, Databricks, and others. Proficiency in Spark, SQL, and Python/Scala/Java. Experience in building Lakehouse architecture using open-source table formats and tools like Jupyter Notebook. Understanding of security best practices, including Azure Key Vault, IAM, RBAC, and monitoring More ❯
products on Databricks, Snowflake, GCP Big Data, Hadoop, Spark, etc. Excellent problem-solving, analytical, and troubleshooting skills. Strong communication and team collaboration abilities. Programming skills in Python (PySpark preferred), Scala, or SQL. Experience designing and implementing enterprise-level data pipelines, with knowledge of ETL processes. Ability to write production-grade, automated testing code. Experience deploying via CI/CD platforms More ❯
London, England, United Kingdom Hybrid / WFH Options
Luupli
understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics More ❯
the 'why' behind their work. Have practical experience as a senior engineer in motivated teams, collaborating closely and taking pride in their work. Possess advanced knowledge of programming languages (Scala, Python, Java, C#) and understanding of domain modelling and application programming. Have experience with data management platforms (SQL, NoSQL, Spark/Databricks). Be familiar with modern engineering tools (Git More ❯
tools such as Microsoft Power BI (Desktop, Mobile, Report Server). Project experience using any of the following technologies: SAS, Teradata, Python, Snowflake, Qlik Replicate, Qlik Compose, Hadoop, Spark, Scala, Oracle, Pega, Salesforce, Cloud (Azure, AWS, SAS Viya), RPA tools such as UiPath, Nintex, or Blue Prism. Knowledge of Enterprise ETL tools such as Informatica, Talend, Datastage or Alteryx. Cross More ❯
collaborating with stakeholders to define optimal solutions - Strong SQL skills with experience across relational and non-relational databases - Proficiency in a modern programming language such as Python, Java or Scala - Hands-on experience using DBT for pipeline development and transformation - Familiarity with cloud platforms such as AWS, Azure or GCP - Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory More ❯
in a leadership or managerial role. Strong background in financial services, particularly in market risk, counterparty credit risk, or risk analytics Proficiency in modern programming languages (e.g., Java, Python, Scala) and frameworks. Experience with cloud platforms (AWS, Azure, or GCP). Deep understanding of software development lifecycle (SDLC), agile methodologies, and DevOps practices. Preferred Skills: Strong communication and stakeholder management More ❯
London, England, United Kingdom Hybrid / WFH Options
HR Ways - Hiring Tech Talent
experience working in enterprise data warehouse and analytics technologies Hands-on experience building and training machine learning models. Experience writing software in one or more languages such as Python, Scala, R, or similar with strong competencies in data structures, algorithms, and software design. Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience working with deep learning frameworks More ❯
large-scale data processing systems with data tooling such as Spark, Kafka, Airflow, dbt, Snowflake, Databricks, or similar Strong programming skills in languages such as SQL, Python, Go or Scala Demonstrable use and an understanding of effective use of AI tooling in your development process A growth mindset and eagerness to work in a fast-paced, mission-driven environment Good More ❯
in motivated teams, collaborating effectively and taking pride in your work. Strong problem-solving skills, viewing technology as a means to solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/ More ❯
Data mining, Data warehousing, ETL Experience in handling large volumes of data on SQL, NoSQL and Big Data databases Experience in Hadoop ecosystem: Hadoop, Spark, Hive, and/or Scala Experience in programming languages: PHP, Python, C Java Experience in Web development in Laravel MVC Framework Comfortable working in Shell scripting, AWS (cloud), Linux and Windows environment Experience in CI More ❯
London, England, United Kingdom Hybrid / WFH Options
Simple Machines
driven APIs, and designing database schemas and queries to meet business requirements. A passion and proven background in picking up and adopting new technologies on the fly. Exposure to Scala, or functional programming generally. Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase More ❯
