Data Engineer
2 tygodni temu
Be | Shaping the Future Poland
has a proven position of being a reliable partner for financial services organisations to analyse complex requirements, find solutions and implement them in their entirety, regardless of their complexity. One of our clients is looking for a
Data Engineer
to join a greenfield initiative focused on building an in-house data lake platform (AWS-based) for real-time and near real-time market data ingestion. The solution will support BI services, data science tools, and multiple business initiatives within a global trading environment.
Why This Role?
You'll be part of a high-impact initiative focused on building a scalable, high-performance data platform for global fixed-income trading. This role offers a unique opportunity to shape a new solution from the ground up within the AWS ecosystem.
Key responsibilities:
- Ingest multiple data sources in batch and near real-time into a shared storage layer
- Design and maintain decoupled storage and compute environments to improve scalability, performance, and cost efficiency
- Maintain and enhance a centralized metadata catalogue ensuring a single view of the data model for all consumers
- Integrate the platform with AWS services (Athena, EMR, QuickSight, etc.) and 3rd-party solutions (Spark, Presto, Tableau)
- Build and maintain high-quality ETL pipelines and data ingestion processes
- Collaborate closely with business stakeholders as part of a small, agile development team focused on high-quality solutions for electronic trading and pricing workflows
- Take responsibility for software delivery by ensuring quality and scope expectations are met
- Contribute to and take ownership of the technical design, ensuring all aspects of the system architecture are well documented
- Work closely with partner technology teams and collaborate effectively
Technical skills (3–5 years of experience):
- Experience with Python, PySpark, Pandas, JupyterLab (working with notebooks)
- Experience using the AWS platform
- Experience with continuous integration and continuous delivery tools such as Git, Jenkins, etc.
- Knowledge of BI tools (Qlik, Tableau, Power BI, etc.)
- Understanding of agile development and the software development lifecycle
- Strong experience in big data ingestion and handling large datasets
- Proven background in creating and maintaining high-quality ETL pipelines
- Solid understanding of AWS data ecosystem and distributed data processing frameworks
- Ability to work in a fast-moving environment and contribute to a new greenfield platform
Nice to have:
- Experience with Kafka, SQL, Hive, Hadoop
- Experience using EMR (Elastic MapReduce) in AWS to run Spark clusters
- Knowledge of Terraform
- Experience with Ansible and Bash scripting
Our offer:
- Competitive remuneration on B2B contract
- Option to activate Medicover and Multisport on preferential terms
- Access to Mindgram – mental health & well-being platform
- Free gym at Q22
- Personal development – internal online / onsite DevTalks
- Referral bonus program
- International environment
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