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Senior Data Engineer

Min Experience

0 years

Location

remote

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Zartis is a digital solutions provider working across technology strategy, software engineering and product development. We partner with firms across financial services, MedTech, media, logistics technology, renewable energy, EdTech, e-commerce, and more. Our engineering hubs in EMEA and LATAM are full of talented professionals delivering business success and digital improvement across application development, software architecture, CI/CD, business intelligence, QA automation, and new technology integrations. We are looking for a Senior Data Engineer to work on a project in management consulting. You will be part of a distributed team developing new technologies to solve real business problems. Our client is a global consultancy whose aim is to unlock better growth that drives measurable revenue and profit for their clients. They achieve this by optimizing every level of their client's commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. What you will do: - Designing and building robust data solutions that support strategic business initiatives. - Collaborating with cross-functional teams to define, implement, and optimize data pipelines. - Ensuring the quality, security, and scalability of the systems developed. - Contributing to the overall architecture and development lifecycle. What you will bring: - Hands-on experience with Python, particularly using PySpark and DataFrame APIs for data processing and transformation. - Experience with AWS Glue for serverless data integration and ETL workflows. - Strong experience with PostgreSQL (RDS). Exposure to hybrid architectures involving document databases (e.g., MongoDB) or in-memory data stores such as Redis. Nice to have: - Proficient in Java with Spring Boot, capable of building scalable and maintainable backend services. - Working knowledge of Angular; familiarity with React is considered a plus. - Proven ability to manage long-running data processes on AWS. - Understanding of serverless architecture patterns and their practical applications. - Experience working with large-scale data processing pipelines and optimizing their performance. - Knowledge of system integration workflows, including managing input and output flows with external client systems.

About the company

Zartis is a digital solutions provider working across technology strategy, software engineering and product development. We partner with firms across financial services, MedTech, media, logistics technology, renewable energy, EdTech, e-commerce, and more. Our engineering hubs in EMEA and LATAM are full of talented professionals delivering business success and digital improvement across application development, software architecture, CI/CD, business intelligence, QA automation, and new technology integrations.

Skills

Data Engineering
Python
Pyspark
DataFrames
AWS Glue
ETL Processes
PostgreSQL
RDS
MongoDB
Redis
Java
Spring Boot
Angular
React
AWS
Serverless