Position: Data Engineer
Company: Academy SMART
Category: Data Engineer
Experience required: 3y
English level: upper

Academy SMART invites Data Engineer to join our team.

Project description:
Our client is Irish consulting company specialising in data
analytics and data science development, consulting, and training. The company was set up in October 2016 and focussed on helping its' clients answer critical business questions and build their organisational data analytics maturity to enable the organisation to make data driven business decisions. After 6 years, the company is seeing growth
potential in several areas including consulting, training services and new product development.

Responsibilities:
- Work with the consulting team and client team to understand the data that the client has access to, its structure & location;
- Work with the consulting team and client team to understand the software tools used at our clients for managing and extracting data from their systems of records for analysis;
- Work with the consulting team and client team to understand the software tools used to curation, store, govern, prepare, and access data for analytic purposes;
- Completing data management & data analytics tasks as per required client use cases.

Requirements:
- Work experience with the Microsoft Azure Stack and Azure Data Services such as SSIS / SSAS, Data Factory and Data Pipelines, Azure SQL Datawarehouse, Azure SQL Server, Azure Synapse / Data Fabric data services components;
- At least 3 years professional working experience;
- A keen interest in the field of technology and innovation;
- An ability to learn quickly and work proactively in teams whilst also using your own initiative.

We offer:
- 20 working days of paid vacation per year;
- Official holidays of Ukraine – days off;
- Modern equipment for work;
- Corporate events;
- External and internal training: conferences, professional events, courses, corporate e-learning platforms;
- English speaking club;
- Work in a respectful and supportive team.

Hiring process:
- Review CV;
- HR interview;
- 2 stages of professional interview.

We are looking forward to your application!