streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory, Databricks, BigQuery, Dataflow, Dataproc Would you like to join us as we work hard, have fun and make history? Apply for this job indicates a required More ❯
MySQL, PostgreSQL, MS SQL Server). Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase). Familiarity with data warehousing solutions (e.g., Amazon Redshift, GoogleBigQuery, Snowflake). Hands-on experience with ETL frameworks and tools (e.g., Apache NiFi, Talend, Informatica, Airflow). Knowledge of big data technologies (e.g., Hadoop More ❯
needed. Requirements: Strong proficiency in Python for data engineering tasks. Experience with cloud platforms (e.g., AWS, Azure, or GCP), including services like S3, Lambda, BigQuery, or Databricks. Solid understanding of ETL processes , data modeling, and data warehousing. Familiarity with SQL and relational databases. Knowledge of big data technologies , such More ❯
enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just More ❯
especially Google Cloud Platform 3+ years in data engineering or data science Experience with data quality assurance and testing Knowledge of GCP data services (BigQuery, Dataflow, Data Fusion, Dataproc, Cloud Composer, Pub/Sub, Cloud Storage) Understanding of logging and monitoring tools such as Cloud Logging, ELK Stack, etc. More ❯
in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, GoogleBigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯
in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, GoogleBigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯
in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, GoogleBigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯
in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, GoogleBigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯
in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, GoogleBigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯
london (city of london), south east england, united kingdom
Tata Consultancy Services
in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, GoogleBigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud More ❯
Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, GoogleBigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance More ❯
Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, GoogleBigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance More ❯
Gillingham, England, United Kingdom Hybrid / WFH Options
Harnham
similar role. Proficiency in SQL and/or Python for data transformation and automation. Hands-on experience with cloud data warehouses (e.g. Snowflake, Redshift, BigQuery). Strong understanding of data modelling, ETL/ELT workflows, and data validation. Experience with BI tools such as Power BI, Tableau, or Looker. More ❯
Gillingham, east anglia, united kingdom Hybrid / WFH Options
Harnham
similar role. Proficiency in SQL and/or Python for data transformation and automation. Hands-on experience with cloud data warehouses (e.g. Snowflake, Redshift, BigQuery). Strong understanding of data modelling, ETL/ELT workflows, and data validation. Experience with BI tools such as Power BI, Tableau, or Looker. More ❯
gillingham, south east england, united kingdom Hybrid / WFH Options
Harnham
similar role. Proficiency in SQL and/or Python for data transformation and automation. Hands-on experience with cloud data warehouses (e.g. Snowflake, Redshift, BigQuery). Strong understanding of data modelling, ETL/ELT workflows, and data validation. Experience with BI tools such as Power BI, Tableau, or Looker. More ❯
Lead role. Proven experience designing and delivering enterprise data strategies . Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding More ❯
such as Erwin, ER/Studio,SqlDBM or SQL DB-native modeling tools. Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, GCP BigQuery) and modern data storage solutions. Strong SQL skills and good knowledge of data warehousing, lakehouses, and OLTP/OLAP systems. Solid understanding of data More ❯
AWS, Azure) and their data-specific services Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT) Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.) Strong understanding of data modeling, data governance, and data quality principles Excellent communication skills with the ability to translate complex technical More ❯
of experience working in a similar role. Strong Python development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other More ❯
City of London, Greater London, UK Hybrid / WFH Options
The Media Image
of experience working in a similar role. Strong Python development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other More ❯
City of London, London, United Kingdom Hybrid / WFH Options
The Media Image
of experience working in a similar role. Strong Python development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other More ❯
of experience working in a similar role. Strong Python development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other More ❯
london, south east england, united kingdom Hybrid / WFH Options
The Media Image
of experience working in a similar role. Strong Python development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other More ❯
slough, south east england, united kingdom Hybrid / WFH Options
The Media Image
of experience working in a similar role. Strong Python development skills, particularly for developing and testing data pipelines. Experience with cloud-based data warehousing (BigQuery preferred). Hands-on experience with orchestration tools (preferably Airflow). Proficient in SQL and data modelling best practices. Experience with DBT or other More ❯
