NI
NinjaTraderSenior Data Engineer
Data Engineer developing architecture and pipelines for data analytics at NinjaTrader. Empowering analysts and improving business workflows through data - driven solutions.
About the role
- Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing
- Build and optimize data architectures for performance, scalability, and reliability
- Develop and maintain ETL/ELT pipelines using modern tools and frameworks
- Ensure seamless integration and synchronization across CRM, servicing channels, and sales tools
- Uphold high standards of data quality, security, availability, and performance
- Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions
- Perform code reviews, troubleshoot software, and fix defects
- Implement monitoring and alerting for data workflows
- Gain expertise in a variety of banking processes and products
- Work as part of a cross-functional Agile development team in a Pan-Baltic, international environment
Requirements
- Proven experience with SQL and Python; Java is a plus
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Experience with container orchestration tools (Kubernetes, Docker)
- Strong understanding of streaming data pipelines and platforms (Kafka, Spark, Flink)
- Familiarity with data pipeline tools like Airflow or dbt
- Experience with data warehousing solutions (Snowflake, BigQuery, Redshift)
- Knowledge of solution integrations (real-time, message-based, event-driven)
- Experience with both SQL and NoSQL databases
- Exposure to test automation and DevOps practices
- Experience within the customer business domain is a strong advantage
- Ability to take ownership and drive initiatives independently
- Fluent English is required in spoken and written communication
Benefits
- Flexible working hours
- Hybrid work
- Additional weeks of vacation
- Volunteer time off
- Paid leave for military training
- Health insurance after the first 3 months
- Access to wellbeing tools and resources
- Internal and external training programs
- Special offers for Luminor products & services
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
SP
SpecsaversData Engineer
Data Engineer designing and developing data solutions at Specsavers. Collaborating on data pipelines and migrations with analysts and stakeholders.
AL
AlterricData Engineer
Data Engineer joining Alterric to collaborate on data platform projects and analytics solutions. Working with Azure Cloud technologies to ensure data quality and integrity for informed decision - making.
KY
KyndrylELK Data Engineer
Data Engineer at Kyndryl transforming raw data into actionable insights using ELK Stack. Responsible for developing, implementing, and maintaining data pipelines and processing workflows.
TC
The Clorox CompanySenior Data Engineer
Senior Data Engineer at Clorox developing cloud - based data solutions. Leading data engineering projects and collaborating with business stakeholders to optimize data flows.
FT
FCamara Consulting & TrainingData Engineer – AWS Stack
Data Engineer building solutions on AWS for high - performance data processing. Leading initiatives in data architecture and analytics for operational support.
SI
SilaeSenior Data Engineer
Senior Data Engineer overseeing Databricks platform integrity, optimizing data practices for efficient usage. Leading teams on compliance while mentoring a junior Data Engineer.
Associate Data Engineer contributing to software applications development and maintenance using Python. Collaborating with teams for clean coding and debugging practices in Pune, India.
Data Engineer focusing on development and optimization of data pipelines in an insurance context. Ensuring data integrity and supporting data - driven decision - making processes.
Lead Data Engineer responsible for delivering scalable cloud - based data solutions and managing cross - functional teams. Collaborating with global stakeholders and ensuring high - quality project execution in a fast - paced environment.