Senior Data Engineer (Analytics)

Dar Consultant,

We are seeking a Senior Data Engineer (Analytics) to join a leading global financial services organization. This role is critical to developing a state-of-the-art data platform that powers advanced analytics, real-time reporting, and data-driven decision-making.

You will work on large-scale data streaming solutions, ensuring high availability, scalability, and performance. send CV to (marcillina.tietjen@dcvtechnologies.co.uk) if you are nterested and match the below skills.

Location: Warsaw, Poland (Hybrid)

Experience: 7+ years

Start Date: Immediate

Job Type: Long-Term (T&M)

Key Responsibilities

✔️ Develop and optimize real-time data pipelines using Kafka, Flink, and Spark Streaming.

✔️ Build scalable data solutions on AWS to support analytics and reporting.

✔️ Design and implement data streaming architectures for high-velocity event processing.

✔️ Enable data stakeholders to efficiently manage and extract insights from complex datasets.

✔️ Work closely with Data Scientists & Analysts to integrate ML models and improve business intelligence capabilities.

✔️ Enhance CI/CD pipelines for seamless data engineering workflows.

Must-Have Skills

🔹 Expertise in Kafka and event-driven architectures.

🔹 Strong Java development experience in data-intensive environments.

🔹 Hands-on experience with AWS services for data processing.

🔹 Proficiency in Flink or Spark Streaming for real-time analytics.

🔹 Experience working with large-scale distributed data systems.

Nice-to-Have Skills

Familiarity with Data Warehousing tools like Snowflake, BigQuery, or Redshift.

Experience with Kinesis or Pulsar for data ingestion.

Knowledge of data lake architectures and data governance best practices.

Work Mode & Requirements

Hybrid Work: Minimum 2 days onsite in Warsaw, Poland.

Language: Must be fluent in English.