converges our product capabilities and opening new possibilities using machine learning and artificial intelligence. This approach encompasses a multitude of vendors (Microsoft, AWS, ESRI, Snowflake, IBM and Apache Software Foundation) and services (Azure, Microsoft Fabric, Apache Airflow, dbt Cloud, watsonx, Kafka, Kubernetes (EKS and AKS), Red Hat Open Shift, plus More ❯
Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms and Data Lake/Warehousing Platforms such as Snowflake, Iceberg etc Experience of various ETL and Streaming Tools (fiveTran, Flink, Spark) Experience of a variety of data mining techniques (APIs, GraphQL, Website Scraping) Ability More ❯
Leeds, England, United Kingdom Hybrid / WFH Options
Scott Logic
Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. What you’ll get in return is: 25 days’ annual leave, rising to 30 days More ❯
skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure More ❯
skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure More ❯
skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure More ❯
skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure More ❯
skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure More ❯
skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure More ❯
NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML Building reliable Data Pipelines Experience in Data Modelling is highly More ❯
Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based More ❯
Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based More ❯
data pipelines, models, and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving, and data analysis. Deep experience with Snowflake and AWS. Deep experience with dbt. Excellent communication and collaboration skills. Willingness to learn, collaborate, and work independently. If interested, apply below or contact [emailprotected More ❯
data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn and collaborate with others, learn quickly and able to work More ❯
data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn and collaborate with others, learn quickly and able to work More ❯
data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn and collaborate with others, learn quickly and able to work More ❯
Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based More ❯
Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based More ❯
meet our requirements now and in future. Skills/Experience required: (Required) 3+ years of relevant Data Engineering experience (Preferably Databricks/Azure - or Snowflake/Redshift/BigQuery) (Required) Experience with infrastructure as code (e.g. Terraform) (Required) Proficiency in using Python both for scheduling (e.g. Airflow) and manipulating data More ❯
Duration: Permanent Responsibilities: 16-18+ years of experience in DWBI, Big Data, Cloud Technologies Implementation and hands-on experience in Azure, AWS, GCP, Snowflake, Databricks Experience with at least 2 Hyperscalers and Big Data processing services like Apache Spark, Beam Knowledge of technologies like BigQuery, Redshift, Synapse, Pub/ More ❯
z2bz0 years of experience in DWBI, Big Data, Cloud Technologies Implementation and hands-on experience with at least two Cloud platforms (Azure, AWS, GCP, Snowflake, Databricks) Expertise in Big Data processing services like Apache Spark, Beam, or equivalents on at least two hyperscalers Knowledge of key technologies such as BigQuery More ❯
total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache More ❯
total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache More ❯
total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache More ❯
total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache More ❯
