Data Engineer - Remote

Overview

emerchantpay is a leading global payment service provider and acquirer for online, mobile, in-store and over the phone payments. Our global payments solution is available through a simple integration, offering a diverse range of features, including global acquiring, global and local payment methods, advanced fraud management and performance optimisation. We empower businesses to design seamless and engaging payment experiences for their consumers.

We are looking for an outstanding Data Engineer who is passionate about data and automation and who, at the same time, has experience with BI/reporting and is eager to work with analytical tools and write excellent SQL queries.

In Short

• Be part of a growing Data Analytics team;
• Support all aspects of automation, ETL, data processing and cleansing, data pipelines, etc;
• Design, architect, implement, and support key datasets that provide structured and timely access to actionable business information with the needs of the end user always in view;
• Retrieve and analyse data using SQL, Excel, and other data management & BI systems;
• Develop queries for ad-hoc requests and projects, as well as ongoing reporting;
• Monitor existing metrics and analyse data, answer key business questions in a data-driven way;
• Work with BI/reporting engineers, product owners, and data scientists to meet business requirements and data needs;
• Work with the latest AWS cloud technologies.

Requirements

• 7-8+ years of overall experience as a Data Engineer and/or as a Business Intelligence Engineer;
• 3-4+ years using Python;
• 3+ years in Data/BI/Analytics/Reporting;
• Strong SQL knowledge and skills;
• Database experience with MySQL and/or PostgreSQL preferable, other DB engines an advantage;
• Experience with data analytics, business intelligence, data pipelines, warehousing & reporting;
• Experience with BI solutions - any of QuickSight, Tableau, Qlikview, PowerBI, etc;
• Proven analytical and quantitative ability and a passion for enabling users to use data and metrics to back up assumptions, develop business cases, and complete root-cause analyses;
• Experience with data modelling and reporting;
• Some experience with data modelling and optimization, ETL processes;
• Familiarity and desire to work with the latest AWS cloud-based tools and services;
• Highly proficient in spoken and written English;
• Enthusiastic, hard-working, and motivated team player with excellent communication skills;
• Previous experience in the payment industry - Considered as an advantage.

Benefits

• Fast-growing payment company;
• Excellent working conditions, casual atmosphere, and state-of-the-art hardware;
• Modern, challenging, constantly growing business;
• Professional development - books, trainings, certifications, etc.;
• 25 days paid holiday, 1 day for every 2 years with us;
• Fully distributed and remote;