Data Engineer 100 Remote

Company Overview:

Lykke founded by Richard Olsen in 2015 is a dynamic financial technology company dedicated to staying at the forefront of emerging technologies in the financial markets. Lykke operates a cryptocurrency exchange offers software as a service (SaaS) products and serves as a marketmaker and liquidity provider on multiple trading platforms. We are actively looking for a Data engineer to strengthen our team.

The Role:

As a Data Engineer at Lykke you will play a pivotal role in developing and maintaining innovative technologies for financial markets. You will collaborate closely with our quantitative trading and risk control units to ensure robust risk management systems are in place while also contributing to projects and problemsolving across different business areas within Lykke.

Tasks

• Design construct install test and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Integrate new data management technologies and software engineering tools into existing structures.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Develop set processes for data mining data modeling and data production.
• Collaborate with data architects quants modelers and IT team members on project goals.
• Ensure data privacy and compliance with data protection regulations.

Requirements

• Bachelors or Masters degree in computer science information technology engineering or a related field.
• Proven experience as a Data Engineer Software Developer or similar role.
• Proficiency in languages used for scripting and data science: Python Java Scala.
• Strong analytical skills with the ability to collect organize analyze and disseminate significant amounts of information with attention to detail and accuracy.
• Experience with big data tools: Hadoop Spark Kafka etc.
• Experience with relational SQL and NoSQL databases including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban Luigi Airflow etc.
• Experience with streamprocessing systems: Storm SparkStreaming etc.
• Candidates with prior experience in developing and implementing trading algorithms within the banking fintech or cryptocurrency exchange sectors will be highly valued.
• Proficiency in quantitative analysis algorithmic trading strategies and risk management techniques. Previous exposure to realtime market data feeds order execution platforms and trading APIs is advantageous.
• Familiarity with highfrequency trading (HFT) systems algorithmic trading libraries and backtesting frameworks is desirable.
• Applicants possessing a deep understanding of market microstructure liquidity dynamics and order routing protocols will be prioritized for their ability to design resilient and scalable data solutions tailored to algorithmic trading requirements.

Benefits

If you are passionate about the intersection of finance and technology thrive in a dynamic and fastpaced environment and have a proven track record within the financial industry we invite you to join our team at Lykke.

Apply now and be part of a company that is shaping the future of financial markets with innovative solutions.