Team Lead Software Engineer with Python
Job Description
- Exposure to regulated data environments (financial, security or compliance).
- Design and implement data engineering solutions for compliance and risk initiatives.
- Work with Python-based ETL pipelines to acquire, transform, and unify large-scale datasets.
- Integrate pipelines into modern automation platforms (e.g., Tines).
- Collaborate with compliance, audit, and business stakeholders.
- Document code, workflows, and data lineage to meet governance and audit standards.
- Proactively identify data quality issues and troubleshoot complex pipeline problems.
- Contribute to automation and performance improvements.
- Bachelor's degree in Computer Science or equivalent work experience.
- 10+ years of experience in production engineering teams.
- Python programming experience with a focus on data engineering.
- Experience with ETL, data modeling, and transformation techniques.
- SQL skills and experience with NoSQL databases.
- Access to trainings and certifications
- Bonuses and aids
- Socializing activities
- Attractive compensation
Position at Ness Digital Engineering
Job ID 6674
Why Ness
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.
You’ll gain knowledge by working alongside other highly skilled professionals that will help accelerate your career progression.
You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.
Requirements and responsibilities
We are seeking a Team Lead Software Engineer with Python background to design and implement data engineering solutions that support compliance and risk-focused initiatives. This role will focus on integrating various monitoring solutions with an advanced AI based security framework.
What You’ll Do
- Work with Python-based ETL pipelines to acquire, transform, and unify large-scale datasets;
- Integrate pipelines into modern automation platform (such as Tines);
- Collaborate with compliance, audit, and business stakeholders to align data solutions with regulatory requirements;
- Document code, workflows, and data lineage to meet governance and audit standards;
- Proactively identify data quality issues and troubleshoot complex pipeline or reporting problems;
- Contribute to automation and performance improvements within the data engineering ecosystem.
What You’ll Bring
- Bachelor's degree in Computer Science, a related field or equivalent work experience;
- 10+ years of experience working in production engineering teams;
- Python programming experience with a focus on data engineering;
- Experience with ETL, data modeling, and transformation techniques;
- SQL skills and experience working with NoSQL databases;
- Exposure to regulated data environments (financial, security or compliance) is a plus;
- Ability to communicate effectively with both technical and non-technical stakeholders;
- Detail-oriented with a strong commitment to data quality and integrity.
Not checking every single requirement?
If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
Let’s meet and you may just be the right candidate for one of our roles.
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.
