Senior Data Engineer

SOFTSWISS

. Build business-critical, robust, and self-service data products using Apache Spark, Kafka, Delta Lake, and other big data technologies .

Posted 11/2/2026full-timeRemote • Poland, Serbia, Georgia, LithuaniaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building robust data products using Apache Spark, Kafka, and Delta Lake, while ensuring data quality and pipeline performance. Proficient in designing scalable architectures and integrating new data processing tools to meet evolving business needs.

Highest-signal resume keywords

Apache SparkKafkaDelta LakeETL Pipeline DevelopmentData Quality Assurance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringScalaJavaPythonData LakesData WarehousesData TransformationStream-Processing ApplicationsMonitoring SolutionsData Modelling

Soft Skills

Analytical SkillsProblem-Solving Skills

Tools & Technologies

PrometheusGrafanaAlertmanagerAI Tools

Certifications & Qualifications

Master's DegreePhD

Industry Keywords

Big Data TechnologiesData ProductsData Pipeline OptimizationFeature EngineeringData Processing Tools

Tech Stack

Tools & technologies

ApacheETLGrafanaJavaKafkaPrometheusPythonScalaSpark

About the role

Key responsibilities & impact

Build business-critical, robust, and self-service data products using Apache Spark, Kafka, Delta Lake, and other big data technologies
Ensure pipeline performance and data quality through scalable architecture and optimization
Refine data solutions as business requirements and technical constraints evolve
Collaborate with teams to understand data needs and support adoption of data products across the company
Work with modern data stack and AI tools to build complex solutions
Design solutions to technical challenges and influence platform architecture
Research, develop, and integrate new data processing tools and technologies

Requirements

What you’ll need

5+ years of software engineering experience with expertise in development, deployment, and integration
Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent)
Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, data transformation concepts, and working with large data volumes
Experience building ETL pipelines for feature engineering on large-scale datasets using Apache Spark and Delta Lake
Experience sourcing and modelling data from application APIs
Experience building stream-processing applications using Spark-Streaming, Kafka Streams or others
Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager or others
Strong analytical and problem-solving skills
Upper-intermediate proficiency in English and strong command of Russian
Master's, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science (nice to have)

Benefits

Comp & perks

Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events