Senior Data Software Engineer

EPAM Systems; Wrocław; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Health insurance

Multisport

Shopping vouchers

Employee Stock Purchase Plan

Referral bonuses up to $2,000

Job summary

EPAM Systems is seeking a Senior Data Software Engineer to join the Data Practice. You will ingest data from diverse sources, process with Spark/Databricks, and implement business logic on the data platform while collaborating with data scientists and IT.

You will optimize data retrieval and build dashboards, ensuring data quality and security. You should have 5+ years in Big Data, strong Python/Scala/Java, and cloud experience (Azure/AWS/GCP).

Qualifications

• Bachelor’s degree in Computer Science, Mathematics or related technical field.
• 5+ years experience in software development with Big Data technologies.
• Advanced knowledge of Python, Scala, or Java.
• Proficient with Spark and Databricks and/or Snowflake.
• Experience with cloud platforms such as Azure, Google Cloud Platform, AWS.
• Demonstrated experience with big data models, databases, and tools.
• Strong understanding of different data file formats like JSON, Parquet, Avro.
• Hands-on experience with SQL and NoSQL databases, including Cassandra and MongoDB.
• Proficiency in data warehousing solutions, ETL processes.
• Excellent communication in English (B2+).

Responsibilities

• Implement data ingestion from diverse sources.
• Research and utilize Big Data technologies for ingestion.
• Process and transform data using Spark and cloud services.
• Understand and apply project-specific business logic in the data platform.
• Optimize data retrieval, develop dashboards, and validate data.
• Collaborate with data scientists, analysts, and IT professionals.
• Provide thought leadership on Big Data best practices and trends.
• Maintain integrity and security of big data sources and platforms.
• Troubleshoot, debug, and upgrade big data systems and applications.

Skills

Python

Scala

Java

Spark

Databricks

Snowflake

Azure

AWS

GCP

SQL

NoSQL

ETL

English B2+

Education

Bachelor's degree in Computer Science

Mathematics or related technical field

Tools

Databricks

Snowflake

Hadoop

Kafka

Airflow

Oozie

HDFS

YARN

Solr/OpenSearch/Lucene

Job description

We are looking for a Senior Data Software Engineer to join our growing Data Practice and make our team even stronger. Our projects and technologies are very diverse and cover all technologies currently on the market and represented by open-source communities. We are providing our service to Clients in different domains: Financial, Health Care, Insurance and many others, so you will have a chance to develop yourself in any direction you want.

Responsibilities

• Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP
• Research and utilize Big Data technologies for effective data ingestion
• Process and transform data using tools such as Spark and various Cloud Services
• Understand and execute project-specific business logic through programming languages supported by the primary data platform
• Optimize data retrieval, develop dashboards, and perform data validation
• Collaborate with diverse teams including data scientists, analysts, and IT professionals
• Provide thought leadership on Big Data best practices and technology trends
• Maintain and ensure integrity and security of big data sources and platforms
• Perform troubleshooting, debugging, and upgrading of big data systems and applications

Requirements

• Bachelor’s degree in Computer Science, Mathematics or related technical field
• 5+ years experience in software development with Big Data technologies
• Advanced knowledge of Python, Scala, or Java
• Proficient with Spark and Databricks and/or Snowflake
• Experience with cloud platforms such as Azure, Google Cloud Platform, Amazon Web Services
• Demonstrated experience with big data models, databases, and tools
• Strong understanding of different data file formats like JSON, Parquet, Avro
• Hands‑on experience with SQL and NoSQL databases, including Cassandra and MongoDB
• Proficiency in data warehousing solutions, ETL processes
• Proven ability to work within a fast‑paced, team‑oriented environment
• Detail‑oriented with excellent analytical and problem‑solving skills
• Knowledge of software development methodologies and best practices
• Exceptional oral and written communication skills in English (B2+)

Nice to have

• Experience with Hadoop, Spark, Kafka, Oozie, Airflow, HDFS, YARN
• Experience with message queues, especially Kafka
• Production experience in search technologies such as Solr, OpenSearch, or Lucene

We offer

• We gather like‑minded people:
  • Top tech minds driving innovation in AI, cloud and digital platform modernization
  • Supportive team and agile, startup‑like culture
  • Hybrid by design mode and opportunity to work remotely within Poland
  • Chance to work abroad for up to 60 days annually
  • Business‑driven relocation opportunities
• We provide growth opportunities:
  • Career development programs
  • Thought leadership, mentoring, soft skills and well‑being programs
  • Certification (Anthropic, Gemini, GCP, Azure, AWS)
  • English classes
• We cover it all:
  • Stable pay
  • Participation in the Employee Stock Purchase Plan with a 15% discount
  • Benefits package (health insurance, multisport, shopping vouchers)
  • Referral bonuses up to $2,000
  • Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
  • Corporate, social and well‑being events
• Please, note:
  • Benefits listed above are available to employees only
  • We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
  • We will reach out to selected candidates exclusively

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI‑Native enterprises, driving measurable value from innovation and digital investments.