Data Engineer

SynthAI Solutions
Altrincham, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 40K

Job location

Remote
Altrincham, United Kingdom

Tech stack

Agile Methodologies
Artificial Intelligence
Airflow
Data analysis
Unit Testing
Azure
Big Data
Cloud Computing
Continuous Integration
Customer Data Management
ETL
DevOps
Hadoop
Python
Machine Learning
NoSQL
Scrum
Software Engineering
SQL Databases
Snowflake
Spark
GIT
Data Analytics
Tools for Reporting
Terraform
Data Pipelines

Job description

This will be an opportunity to join a newly established team which has the opportunity to work within a number of interesting projects including Data Science, Market Data and Pricing Transformation, Customer Data and Analytics. As this is a new role, you will be meeting with key stakeholders to gather requirements, design and implement the solutions, and lead the development life cycle., * Develop and maintain scalable data pipelines to power new initiative data products

  • Use the latest data analytics and quality tools to ensure data meets strict data standards.
  • Design and implement new data pipelines using best in class tools such as Airflow, DBT etc.
  • Build a scalable cloud infrastructure on Azure using modern technologies such as terraform
  • DevOps experience, such as using Git, CI/CD and Unit Testing
  • Working on iterative/agile development methodologies such as SCRUM
  • Bring your own idea to show how we can do things better.

Requirements

Do you have experience in Unit testing?, * Strong hands-on development experience with Python

  • Strong SQL experience (Any No-SQL and/or Snowflake experience)
  • Experience with DBT or Airflow
  • Have experience with ETL, Analytical/Reporting tools
  • Have cloud-based experience, preferably with Azure
  • Big Data Frameworks experience, such as Hadoop and Apache Spark
  • Experience of working within small teams or a startup environment
  • Interest in working closely with Artificial Intelligence/Machine Learning

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