maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business more »
Flink, or Hadoop. > Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure. > Experience with data warehousing technologies such as Redshift, BigQuery, or Snowflake. > Knowledge of database systems such as MySQL, PostgreSQL, or MongoDB. > Excellent problem-solving skills and attention to detail. > Strong communication and collaboration more »
of relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Couchbase). Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Excellent scripting skills (e.g., Python, SQL). Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, with the ability to interact more »
of relational databases (e.g., SQL Server, Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Couchbase). Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Excellent scripting skills (e.g., Python, SQL). Strong analytical and problem-solving skills. Excellent communication and interpersonal skills, with the ability to interact more »
to production Generate actionable insights for business improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in more »
solution independently. Required Skills and Experience: Extensive experience in: Data Warehousing Data Engineering, overall Data Analytics Data Visualisation Proficiency in: Google Cloud (GCP) GCP BigQuery Python DBT or similar FastAPI or similar Airflow or similar Desirable: Google Apigee (as an application developer) Exposure to Machine Learning projects Exposure to more »
london, south east england, United Kingdom Hybrid / WFH Options
ByteHire
solution independently. Required Skills and Experience: Extensive experience in: Data Warehousing Data Engineering, overall Data Analytics Data Visualisation Proficiency in: Google Cloud (GCP) GCP BigQuery Python DBT or similar FastAPI or similar Airflow or similar Desirable: Google Apigee (as an application developer) Exposure to Machine Learning projects Exposure to more »
Exeter, England, United Kingdom Hybrid / WFH Options
BJSS
of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »
Nottingham, England, United Kingdom Hybrid / WFH Options
BJSS
of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »
Birmingham, England, United Kingdom Hybrid / WFH Options
BJSS
of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems more »
In-depth knowledge about SQL databases and ability to execute queries quickly. Understanding of UNIX and Linux systems. Understanding of GCP services- Dataflow, Pubsub,BigQuery, Big Table, GCS etc. Excellent knowledge of NoSQL databases and Relational Databases (Oracle), with good exposure to Cloud databases, Columnar databases, graph databases and more »
london, south east england, United Kingdom Hybrid / WFH Options
CSI GLOBAL LTD
In-depth knowledge about SQL databases and ability to execute queries quickly. Understanding of UNIX and Linux systems. Understanding of GCP services- Dataflow, Pubsub,BigQuery, Big Table, GCS etc. Excellent knowledge of NoSQL databases and Relational Databases (Oracle), with good exposure to Cloud databases, Columnar databases, graph databases and more »
a plus). Because data preparation will be c.25% of the role,the candidate requires technical background and comfort with this activity. Experience GCP BigQuery and Oracle PL/SQL experiences are a plus. Cooperative and positive attitude in a group setting to achieve common goals Ability to act more »
a plus). Because data preparation will be c.25% of the role,the candidate requires technical background and comfort with this activity. Experience GCP BigQuery and Oracle PL/SQL experiences are a plus. Cooperative and positive attitude in a group setting to achieve common goals Ability to act more »
wider Data Governance and Quality frameworks SKILLS & EXPERIENCE: To be considered you MUST have experience in the following: Hands-on Data analysis skills(SQL, BigQuery, Snowflake(or equivalent), Power BI, Google Analytics(GA4 ideally)) First-hand experience working in a customer-led digital product organization(Ideally Gambling, Gaming, or more »
tools, ideally Airflow Strong Data Architecture experience Cloud expertise in either GCP or AWS (ideally in both) Knowledge of MPP systems such as Athena, BigQuery, EMR, Hive, Iceberg Exposure to data streaming technologies such as Kafka or Kinesis more »
tools, ideally Airflow Strong Data Architecture experience Cloud expertise in either GCP or AWS (ideally in both) Knowledge of MPP systems such as Athena, BigQuery, EMR, Hive, Iceberg Exposure to data streaming technologies such as Kafka or Kinesis. more »
data and ideas to senior stakeholders Partnering with commercial and marketing teams Leading projects relating to mobile app analytics Line management Experience in with BigQuery or SQL Experience with visualisation tools Great opportunity for someone to work for a brand that everyone knows, contributing to the success of an more »
ROLE SUMMARY DATA ENGINEER REMOTE/TRAVEL TO CLIENT SITE IN LONDON Valcon UK are looking to recruit a self-motivated, highly logical and intellectually curious Data Engineer’s to join our expanding Data capability in the UK. As a more »
ROLE SUMMARY DATA ENGINEER REMOTE/TRAVEL TO CLIENT SITE IN LONDON Valcon UK are looking to recruit a self-motivated, highly logical and intellectually curious Data Engineer’s to join our expanding Data capability in the UK. As a more »
Job Description for Data Engineer Work Location: London/Birmingham, UK Looking for a Data Engineers to analyse large amounts of raw information to find patterns and data migration that will help improve business goals. We will rely on you more »
Customer Data Analyst Retailer £40,000 - £45,000 London | Hampshire 2 days in the office a month The Role: A leading UK retailer are looking for a CRM Analytics Manager to join their digital and data transformation. They have recently more »
SQL Query Trainer - Remote - Part-time (2 days a week) (SQL Query Trainer, SQL, Queries, Training, SQL Management Studio, Azure SQL, GCP Big Query, SQL Query Trainer, Urgent) Our client is an exciting and cutting-edge technology brand with an more »
Platform (GCP) In-depth knowledge and experience of data storage and querying with several database solutions such as Elasticsearch, Snowflake, PostgreSQL etc. (We use BigQuery) Eager to familiarise yourself with new technologies as needed Knowledge of CI/CD integrations Care deeply about the user experience and building high … end devs and UX engineers 4+ years of relevant work experience Nice to have: Experience in working with agile/lean methodologies Knowledge of BigQuery Experience with, or knowledge of tools such as Terraform, Docker and Kubernetes Why join Elsewhen: Were a flexible-first company. Work face-to-face more »
