Staff Software Engineer – DSM

Cint

Staff Software Engineer designing and maintaining backend systems at Cint. Collaborating across teams to innovate in data processing and analytics.

Posted 7/15/2026full-timeRemote • 🇬🇧 United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive backend software engineering expertise with a focus on designing and maintaining high-volume data processing systems. Proficient in collaborating with cross-functional teams to develop scalable architectures and optimize performance-sensitive workflows.

Highest-signal resume keywords

Backend Software EngineeringData Processing ToolsREST APIsProblem-Solving SkillsCloud Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaPythonPySparkAlgorithmsData StructuresBig O NotationSQLNoSQLDockerEvent-Driven Integrations

Soft Skills

Collaborative Working StyleCommunication Skills

Tools & Technologies

SparkApache Ecosystem ToolsDelta LakeParquetKafkaAvroAWSGCPPandasSpring Framework

Industry Keywords

High-Volume SystemsReal-Time SystemsScalable ArchitectureData AnalyticsMicroservices

Tech Stack

Tools & technologies

ApacheAWSCloudDockerGoogle Cloud PlatformJavaKafkaMicroservicesNoSQLPandasPySparkPythonSparkSpringSQL

About the role

Key responsibilities & impact

Design, implement, scale, and maintain backend systems that process large volumes of data
Work on event-driven and API-based integrations
Contribute to migration efforts toward a more domain-based and scalable architecture
Build and optimize software for performance-sensitive workflows
Investigate technical problems and propose solutions together with the team
Collaborate closely with data science and engineering colleagues on technical solutions
Participate in a collaborative development model where work is shared rather than handled alone

Requirements

What you’ll need

10+ years of backend software engineering experience, with strong technical depth
We’re technology agnostic, so you're welcome to switch your main language to Java
Solid understanding of algorithms, data structures, Big O notation, and Architecture
Familiarity with heavy data processing tools and technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro
Experience with Python and/or PySpark
Experience building or maintaining complex, real-time, high-volume systems
Experience with Docker, SQL, and NoSQL databases
Experience with REST APIs and event-driven integrations
Strong problem-solving skills and a proactive, collaborative working style
Ability to communicate well with engineers and data science partners
Academic Background: Computer science, computer engineering or a related field is preferred
Nice to Have: Experience with AWS, GCP or other cloud providers, Pandas, Spring framework and microservices, large-scale data or analytics environments

Benefits

Comp & perks

Collaboration is our superpower
Success happens together
Innovation is in our blood
Our curiosity is insatiable
We do what we say
Excellence comes as standard
We are caring
Stop and listen; every opinion matters