Data Engineer
New Line Technologies is looking for a Senior Data Engineer to work for a project. The project provides market control and compliance infrastructure tailored for digital assets using a crypto-native approach with machine learning. Company’s product helps digital asset firms detect, investigate and report market manipulation in digital asset trading successfully, reducing costs, minimizing false positives and lowering regulatory risks.
The Role
We’re looking for a strong Software Engineer with Data Engineering experience. Someone who is proficient in building robust, scalable, maintainable and thoroughly monitored data pipelines
on cloud environments. As an ambitious start-up in an extremely dynamic space, we pride ourselves on being independent, accountable, and organized, have a self-starter attitude, and be willing to get their hands dirty with day-to-day work that might be out of their official scope, while keeping an eye on their goals and the big picture.
Responsibilities:
● Design and implement customer facing integrations of various asset types into the data
pipelines
● Design and develop the data’s team micro services — Java services running on K8S and
in AWS.
● Develop, design, and maintain end-to-end ETL workflows, including data ingestion and
transformation logic, involving different data sources.
● Enrich financial data through third-party data integrations, FIX, CSV, JSON and other
formats — including market (e.g. order book) and reference (e.g. company information)
data.
● AI-first solution approach. Coding using AI agents, such as Claude, for a given problem
context, with adherence to the architectural and coding conventions of the organization
● Plan and communicate integrations with other teams that consume the data and use it
for insights creation. Strong collaboration with product and customer facing teams
● Tackle data duplication, velocity, schema adherence (and schema versioning), high
availability, data governance, and more.
Requirements:
● BSc. in Computer Sciences from a top university, or equivalent.
● Strong background as a software engineer with at least 3+ years experience with Java.
● 5+ years in data engineering, and data pipeline development on high-volume,
low-latency production environments.
● Experience working in fintech, crypto or trading industries, and familiarity with FIX and
market data is an advantage.
● Experience with monitoring systems (Prometheus, Grafana).
● Experience with data-engineering cloud technologies as Apache Airflow, K8S,
Clickhouse, Snowflake, Redis, Caching technologies and Kafka.
● Proven experience with relational,non-relational, and time series DBs. Proficient in SQL
and query optimizations.
● Experience with designing infrastructure at scale to maintain high availability SLAs.
● Experience with monitoring and managing production environments.
● Curiosity, ability to work independently and proactively identify solutions. Strong
communication skills.
● Excellent verbal and written communication skills in a remote environment, working
cross functionally
We offer:
● Interesting project
● Non-standard tasks
● Social package