Data Engineer at Nimble Gravity

Jyväskylä, Central Finland, Finland -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

0.0

Posted On

16 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Databricks, PySpark, dbt, Airflow, Temporal, Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, Vector Databases, Machine Learning, Feature Engineering, Knowledge Graphs, Data Quality

Industry

IT Services and IT Consulting

Description

At Nimble Gravity we are looking for a talented Data Engineer to join our team. Primary Responsibilities Build, scale, and maintain robust data solutions to support the firm's objectives. Implement and optimize high-performance data pipelines: extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed. Lead software development projects end to end involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies. Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production. Implement rigorous testing and monitoring practices to maintain superior data quality and integrity. Mentor and develop junior team members, fostering a culture of excellence and continuous learning within the team. Be willing to travel up to 20% of the time to collaborate with distributed team members across locations. Requirements Education & Certificates A bachelor's degree or higher in a STEM field, required Concentration in Computer Science, Math, Physics or other engineering related field, preferred Professional Experience 5+ years of experience in data engineering or a related discipline, with a proven track record of success. Experience in the financial services or private equity industry, preferred Competencies & Attributes Expertise in Python and SQL, with a strong foundation in data manipulation and analysis. Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks. Experience with workflow orchestration tools e.g. Airflow, Temporal Experience working with large language models (LLMs) especially prompt engineering, retrieval-augmented generation (RAG)s, and/or vector databases. Knowledge of fundamental principles of machine learning, feature engineering, and knowledge graphs are pluses. Demonstrated experience in designing and implementing complex data systems from the ground up. Proficient in handling large-scale data projects, including data cleaning, ETL, and information retrieval. Previous experience in a product development or financial services environment is highly desirable. Excellent communication skills required, both verbal and written. About Nimble Gravity Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization. Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.

Responsibilities

The Data Engineer will build, scale, and maintain robust data solutions while implementing and optimizing high-performance data pipelines. They will also lead software development projects involving AI technologies and collaborate with business stakeholders to create production-ready services.