Data Engineer, Business Intelligence
Athens
Kpler
Unlock global trade intelligence with Kpler. Real-time data for businesses to plan, grow, and thrive sustainably.Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries.
Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide.
Role Purpose:
Implement reliable pipelines to get results and useful information from different data sources by integrating, managing, consolidating and cleansing data. Deal with raw, possibly not validated data that contains human, machine or instrument errors. Ensure that any data is properly received, transformed, stored and made accessible to other users, by applying the proper tests and business rules. Combine, prepare and provide data sets for analytical or operational uses. Have a high sense of data understanding in order to implement code that improves data reliability, efficiency, and quality.
Typical Tasks & Activities
- Translates business rules to reliable data transformation pipelines.
- Creates necessary back-end infrastructure for analytics, reporting visualizations and ML flows.
- Builds, maintains and improves the BI reporting code-base, ensuring data integrity and availability according to the needs of the BI team and of the rest of KPLER
- Builds integration and unit tests for all data wrangling scripts, in order to ensure high data quality and consistency
- Identifies data flow inefficiencies and proposes alternative solutions
Accountabilities
- Ownership, quality, integrity and consistency of aforementioned code base
- Efficiency of ETLs and availability of data according to needs
- Close collaboration with the BI Data architect
- Engineering best practices (documentation, versioning, etc.) should be followed
- Adherence to the Teams' KPI's and OKR goals should be pursued
Skills & Qualifications
- Bachelor's Degree on Computer Science , Information Technology or related fields.
- Experience with back-end engineering (4+ years) (PHP or any other language with OOP)
- Familiar with AWS data engineering ecosystem.
- Professional experience with SQL, queries and RDBMS design principles. (3+ years)
- Unit and Integration Testing
- Versioning (Git)
- Ability to understand the business logic behind the data-sets, in order to ensure data quality
- Excellent command of the English language
- Some familiarity with Big Data technologies and frameworks is desired
- NoSQL databases is desired
we make things happenWe act decisively and with purpose, and we like to go the extra mile.
we build togetherWe foster relationships and develop creative solutions to address market challenges with cool features and solutions.
hey, how can i help you today?Being accessible and supportive to colleagues and clients with a friendly approach is essential.
Our People Pledge
Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
By applying, I confirm that I have read and accept the Staff Privacy Notice
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Business Intelligence Computer Science Data quality Engineering ETL Git Machine Learning NoSQL OKR OOP PHP Pipelines Privacy RDBMS Research SQL Testing
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