data engineer in fintech

Enfint; Deutschland; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Fully remote work (eligible roles)

Stock option plan

Medical insurance support

Relocation support

Vacation and sick days

Zusammenfassung

Enfint ищет опытного инженера данных для разработки и сопровождения конвейеров данных на Databricks и Apache Spark. Вы будете работать над созданием lakehouse-архитектуры на S3/Delta Lake и оптимизацией ETL/ELT-процессов, сотрудничая с аналитиками, инженерами и продуктовой командой.

Кандидат должен владеть PySpark/Scala, Python и SQL, иметь опыт работы с Delta Lake и владеть Git. Рассматриваются удаленные роли, возможность международной удалённой работы и тесное взаимодействие в

Qualifikationen

• Опыт работы с Databricks и Apache Spark, PySpark и/или Scala.
• Сильный Python для data engineering.
• Сильный SQL и Spark SQL для трансформаций и аналитики.
• Опыт с Delta Lake и lakehouse архитектурами.
• Опыт написания чистого кода с Git и контроля версий.
• Умение работать автономно и управлять пайплайнами от начала до конца.

Aufgaben

• Разработка и выполнение пакетных и потоковых пайплайнов на Databricks и Spark.
• Формирование lakehouse на S3/Delta Lake, Bronze–Silver–Gold слои и оптимизацию хранения.
• Работа с аналитикой, инженерами и продуктом для преобразования данных в бизнес-ввод.
• Разработка и поддержка масштабируемых ETL/ELT пайплайнов.
• Оптимизация Spark задач: размер кластера, кэширование, джойны, шифры, партиции, форматы хранения.
• Управление Databricks Workflows, задачами и конфигурациями кластера.
• Реагирование на сбои и проблемы производительности.
• Обеспечение контроля доступа через Unity Catalog и качество данных.
• Защита корректности и надежности платформы.

Kenntnisse

Databricks

Apache Spark

PySpark/Scala

Python

SQL

Git

Independent worker

Ausbildung

Bachelor's degree in CS/IS or related field

Tools

Delta Lake

Lakehouse

AWS

S3

Jobbeschreibung

Описание: Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. It combines global fintech expertise with local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.

Задачи:

• Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams
• Shape the lakehouse architecture on S3 and Delta Lake, including Bronze, Silver, and Gold layers and storage optimization
• Work with analytics, engineering, and product teams to turn raw data into reliable, usable business inputs
• Build and maintain scalable, fault-tolerant, cost-optimized ETL/ELT pipelines
• Optimize Spark jobs end to end, including cluster sizing, caching, joins, shuffles, partitioning, and storage formats
• Manage Databricks Workflows, jobs, and cluster configurations
• Respond to failures and performance issues
• Implement data governance and access control with Unity Catalog across accounts and environments
• Protect data correctness and reliability across the platform

Требования:

• Hands-on experience with Databricks and strong proficiency in Apache Spark, including PySpark and/or Scala
• Strong Python for data engineering
• Strong SQL and Spark SQL for transformation and analytics
• Experience with Delta Lake and lakehouse architectures, including performance optimization
• Experience writing clean, testable, maintainable code with Git-based version control
• Ability to work independently and own pipelines end to end

Условия:

• Stock option plan with four-year vesting and a 25% cliff after the first year
• Fully remote work is available for eligible roles
• Core collaboration hours are from 12:00 to 19:00 Manila time (UTC+8)
• Company-provided tools and equipment
• Medical insurance support for the employee and family through co-funding or reimbursement, depending on location and subject to policy limits
• Access to an internal mental health support specialist
• 22 Vacation days, Philippine public holidays, and 15 sick days
• 105 Days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila
• Relocation support for the employee and family, including flights, two weeks of accommodation, visas, paperwork, and logistics
• Reimbursement of eligible pet relocation expenses
• US$2,500 per year for flights home
• Baby and family stipends for employees relocating to Manila: US$1,000 per month for each child under two and US$500 per month for each child aged two to 18
• Opportunities to learn and share expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
• Company-sponsored trips to Manila to meet and work with the team in person
• Regular team offsites, sports activities, and team events
• High-performing teams can earn a dedicated beach house week in Southeast Asia