Data Engineer

Company Description

We help sales and legal teams to close better deals faster through intelligent contracting decisions.

We have developed an AI-enabled SaaS product that combines sales enablement with legal automation to close better deals faster. 

Our team is made-up by an experienced team of tech-enthusiasts as well as hacking geniuses, who have already successfully built several companies. Right now is an exciting time to join a team that is applying machine learning and cutting-edge microservices to further its development. 

Job Description

Are you passionate about transforming raw data into actionable insights that drive strategic decision-making? At top.legal, we’re not just handling data—we’re building a robust data infrastructure that powers our Neo4j knowledge graph and supports AI-driven contract analysis, negotiation, and execution. We’re seeking a dedicated Data Engineer to join our mission and be the architect of our cutting-edge data solutions.

Imagine being at the forefront of data innovation, where your expertise doesn’t just process data but transforms it into valuable assets that empower the entire negotiation ecosystem. You’ll tackle complex challenges, develop sophisticated ETL pipelines, and ensure data quality and governance that underpin our platform’s capabilities. This role is not about maintaining the status quo; it’s about revolutionizing our data engineering practices to support groundbreaking AI functionalities.

As a Data Engineer with us, you’ll own the development and maintenance of critical data pipelines from conception to deployment, ensuring every component aligns with our vision and delivers exceptional value to our users. You’ll collaborate with a dynamic team of AI engineers, backend developers, product managers, and designers, all united by a shared passion for innovation and excellence. Your contributions will shape the data infrastructure that enables our AI-driven solutions to thrive.

But it’s not just about the technology—it’s about the people. You’ll mentor junior engineers, fostering a culture of continuous learning and collaborative problem-solving. Together, we’ll push the boundaries of data engineering, challenge conventional thinking, and build systems that not only meet our users’ needs but exceed their expectations.

If you’re ready to go beyond traditional data engineering roles and become a pioneer in building the infrastructure that transforms how the world negotiates and collaborates, then we want you on our team. Join us at top.legal, and let’s build the future together.

Qualifications

Key Responsibilities:

• Problem Solver: Ensure data quality and governance within the Neo4j knowledge graph by developing and maintaining ETL pipelines, integrating data from existing systems, and managing data models.

• Ownership Mindset: Take full responsibility for data engineering projects, from design to deployment, ensuring they meet business objectives and deliver value to users.

• Collaborative: Work closely with cross-functional teams, including AI engineers, backend developers, and data engineers, to integrate data solutions seamlessly into the overall architecture.

• Customer-Centric: Prioritize user needs in all data engineering activities, seeking to create reliable and efficient data systems that enhance user experience.

• Innovative: Lead by example in adopting advanced data engineering technologies and methodologies, contributing creative ideas to improve our data infrastructure.

• Technical Excellence: Ensure adherence to best practices in data modeling, ETL processes, and data governance, demonstrating a strong commitment to quality and maintainability.

• Business Acumen: Understand the business context of data engineering initiatives and how they impact company goals, making informed decisions that drive success.

• Autonomous: Make independent, well-informed decisions while aligning with team objectives and company values.

• Continuous Learner: Actively seek opportunities for personal and professional growth, staying up-to-date with the latest data engineering technologies and industry trends.

• Effective Communicator: Clearly articulate data concepts, listen to feedback, and foster open, honest communication within the team.

• Mentor: Guide junior engineers, promoting a culture of learning and continuous improvement within the data engineering team.

Required Skills:

• Minimum 3 Years of experience required.

• Proficiency in Core Technologies: Strong experience with data engineering tools and frameworks such as Apache NiFi, Talend, or custom ETL pipelines, and proficiency in data modeling for Neo4j.

• Data Modeling & Graph Databases: Expertise in designing data models for Neo4j, with experience in graph database concepts and Cypher queries.

• ETL Processes: Proven ability to extract, transform, and load data from various sources using ETL tools and frameworks.

• Programming Languages: Proficiency in Python, SQL, and possibly Scala or Java for data processing tasks.

• Data Integration: Experience integrating data from CRM, ERP, and other enterprise systems, with familiarity with APIs and data synchronization techniques.

• Data Quality & Governance: Ability to implement data validation, cleansing, and enrichment processes, and establish data governance policies and documentation.

• Database Management: Strong understanding of SQL and NoSQL databases, with experience using data warehousing solutions.

• Cloud Data Services: Familiarity with cloud-based data services such as AWS Glue, Azure Data Factory, or similar tools.

• Version Control & Collaboration: Proficiency with Git and collaborative development practices.

• Performance Optimization: Skills in optimizing data pipelines for efficiency and scalability, ensuring high performance and reliability.

• Security Best Practices: Implementing data security measures to protect sensitive information and ensure compliance with data protection regulations.

• Metadata Management: Experience with metadata repositories and data lineage tracking to ensure data transparency and traceability.

• Leadership Abilities: Proven track record of leading data engineering projects and mentoring team members in a collaborative environment.

• Customer Focus: Deep commitment to understanding and prioritizing user needs in all aspects of data engineering work.

• Business Understanding: Ability to align data engineering decisions with broader business goals and objectives.

• Communication Skills: Excellent verbal and written communication skills, with the ability to articulate data concepts clearly and listen effectively.

Additional Information

• You join one of Germany's most promising startups, financed by Germany's most renowned investors. 

• Work locally in Pune on an exciting SaaS product. 

• You are an important part of a dynamic team of builders. Together we apply cutting-edge technologies and see their impact unfold.

• You will be able to apply and hone your abilities as part of working with excellent and motivated people. 

• We offer flexible work environment because we are result-driven.

• Generous benefits such as health care and life insurance

• Find out more about us: 
  https://en.top.legal/
  https://www.linkedin.com/company/contract-value-management/