As a Data Integration Engineer, you will be a part of a strong energetic and fast-growing global team.
The role
- You will be an integral part of clients' ongoing data requests and projects.
- You will be working closely with internal CSM teams as well as interacting directly with clients’ data teams across different business verticals.
- Your core responsibilities will involve playing an active role in collaborating with internal teams to construct tailored data transformations and manipulations while working with top-notch technology (Cloud tech etc.)
The ideal candidate is an SQL whiz with a strong work ethic, robust analytical and technical capabilities, and highly effective time management skills. We are looking for a master multi-tasker who thrives in challenging, fast-paced environments, with agility and ease.
The Data Integration Engineer is a position that brings with it an excellent opportunity to learn and grow within a rapidly expanding company on the cutting edge of Martech.
Responsibilities
- Develop and support a wide range of data transformations and migrations
- Construct custom ETL processes: Design and implementation of data pipelines and data marts, access versatile data sources, and apply data quality measures
- Investigate data mismatches and apply solutions
- Work side by side and support the Customer Success teams in order to meet customer business needs.
- Interact with clients to understand business needs and collaborate on project scopes, planning, and execution.
About you
- Graduate with a degree in Industrial Engineering and Management or a similar major
- Experience with databases and SQL - a Must
- Outstanding technical and analytical skills
- Highly motivated with an exceptional work ethic
- High attention to detail with an ability to work on multiple projects simultaneously
- Strong interpersonal and communication skills
- Quick, self-learning capabilities and creativity in problem-solving
- Must be eligible to work in the UK – we are unable to provide sponsorship at this time.
- Hybrid work model - 3 days in the office and 2 days at home.
Preferred
- Familiarity with Python
- Familiarity with Airflow, ETL tools, Snowflake and MSSQL
- Hands-on with VCS (Git)