Senior Data Software Engineer

We are looking for a Senior Data Software Engineer to join a growing Data Practice.

Projects and technologies are diverse, covering current market technologies and open-source communities. The role supports clients in domains including Financial Services, Health Care, and Insurance, offering opportunities to develop in different directions.

Quick Facts

• Hybrid-by-design work model and the opportunity to work remotely within Poland
• Opportunity to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• Open to contractors; B2B cooperation terms are agreed individually
• Benefits listed are available to employees only
• Only selected candidates will be contacted

Responsibilities

• Implement data ingestion from diverse sources, including RDBMS, REST HTTP APIs, flat files, streams, time-series data, and SAP, using Big Data technologies.
• Process and transform data using Spark and cloud services.
• Understand and implement project-specific business logic using programming languages supported by the primary data platform.
• Optimize data retrieval, develop dashboards, and perform data validation.
• Collaborate with data scientists, analysts, and IT professionals.
• Provide thought leadership on Big Data best practices and technology trends.
• Maintain the integrity and security of big data sources and platforms.
• Troubleshoot, debug, and upgrade big data systems and applications.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.
• 5+ years of software development experience with Big Data technologies.
• Advanced knowledge of Python, Scala, or Java.
• Proficiency with Spark and Databricks and/or Snowflake.
• Experience with cloud platforms such as Azure, Google Cloud Platform, or Amazon Web Services.
• Demonstrated experience with big data models, databases, and tools.
• Understanding of data file formats including JSON, Parquet, and Avro.
• Hands-on experience with SQL and NoSQL databases, including Cassandra and MongoDB.
• Proficiency in data warehousing solutions and ETL processes.
• Ability to work in a fast-paced, team-oriented environment.
• Detail orientation with strong analytical and problem-solving skills.
• Knowledge of software development methodologies and best practices.
• Exceptional written and spoken English at B2+ level.

Nice to Have

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

We Offer

• Work alongside technical specialists in AI, cloud, and digital platform modernization.
• Supportive, agile, startup-like culture.
• Career development programs.
• Thought leadership, mentoring, soft-skills, and well-being programs.
• Certification opportunities in Anthropic, Gemini, GCP, Azure, and AWS.
• English classes.
• Stable pay.
• Participation in the Employee Stock Purchase Plan with a 15% discount.
• Benefits package, including health insurance, Multisport, and shopping vouchers.
• Referral bonuses of up to $2,000.
• Offices with entertainment and relaxation zones, table tennis, football, free snacks, coffee, and more.
• Corporate, social, and well-being events.