Senior Data Engineer

About Planet

Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for millions of people who use our payments, software, and tax‑free solutions every minute of every day. Planet empowers its customers to deliver great experiences by combining payments and software in ways that drive greater loyalty, increase revenue, and save time. Founded over 35 years ago, our headquarters are in London and we have more than 2, 500 employees across six continents serving customers in more than 120 markets.

Role Overview

The Senior Data Engineer will work on ongoing data warehouse maintenance and development projects. We are looking for an individual with excellent problem‑solving skills to join a busy team that handles all of the support and enhancements for a large number of internal customers. The candidate should ideally have 4+ years of experience developing a data warehouse for corporate houses using top‑notch technology.

What You Will Do

• Implement event‑driven workflows using Kafka
• Build data pipelines using Apache Flink and Python
• Design and build industry‑standard ETL using SSIS for data warehousing
• Debug, monitor, and maintain existing BI solutions (SSIS, SSRS, SSAS, SQL Server) with SQL Server 2019
• Assess quality and suitability of source data
• Write relational (SQL) and multidimensional (MDX/DAX) queries (SSAS)
• Call APIs from SSIS to pull data from internal or external systems

Who You Are

• Team player and open‑minded
• Proactive and ambitious
• Fluent in English
• Strong organizational, presentation, and planning skills
• Knowledge of SCRUM and Kanban methodologies is desirable

Why Planet

Planet is an equal‑opportunity employer where diversity is valued and all employment is decided based on qualifications, merit, and business need.

Come and grow your career in the most exciting, fast‑paced technology market, with a business that delivers feel‑good connected commerce.

Apply Now

At Planet, we embrace a hybrid work model, with three days a week in the office.

Reasonable accommodations may be made to allow an individual to perform the essential functions of this role successfully.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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