Position: Engineering Manager (ETL and AI/ML)
Working arrangement: Hybrid
Location: Global Development Hub Jakarta.
Candidates should be domicile in or willing to relocate to JABODETABEK without relocation support.
About Us:
Byggfakta Group is a global leader in construction project data and insights, generating approximately €180 million in revenue with operations spanning 26 countries and employing over 1,800 professionals. Our Indonesian subsidiary, BCI Central, plays a crucial role in our global operations.
We are dedicated to continuous growth and innovation. Our Global Development Hub (GDH) in Jakarta spearheads technological advancements and manages our diverse product portfolio. Emphasizing continuous improvement, GDH operates within a supportive framework provided by BCI Central, fostering innovation and excellence in the construction information sector.
About the Role:
As the Engineering Manager, you will oversee and guide a dynamic engineering teams specializing in ETL processes and AI/ML technologies. Your role will involve managing large-scale data processing projects, driving the implementation of AI and ML solutions, and ensuring the delivery of high-quality, scalable systems. You will collaborate with cross-functional teams to shape and execute strategic initiatives that align with our company’s goals.
Key Responsibilities:
- Lead, mentor, and inspire a team of engineers, promoting a culture of innovation and excellence in ETL and AI/ML practices.
- Oversee the end-to-end lifecycle of ETL pipelines and AI/ML projects, ensuring timely and successful delivery.
- develop and implement strategies for handling complex data processing tasks and deploying machine learning models that address key business challenges.
- Work closely with product managers, solution architect and other stakeholders to define project requirements and deliver impactful solutions.
- Work with data teams to ensure high level of data quality with efficient resource usage and cost management. Reliable, stable and efficient ETL processes are key to delivery of this product.
- Develop and lead development of automation algorithms for several automation tasks including data generation, automated data testing and monitoring of ETL pipelines identifying data level errors and unexpected values and handling.
- Ensure best practices in code quality, data integrity, and system performance. Conduct regular reviews and maintain high standards across all AI/ML and ETL processes.
- Stay abreast of emerging trends and technologies in AI/ML and ETL. Encourage continuous learning and the adoption of cutting-edge tools and methodologies.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree is a plus.
- Minimum of 2-3 years of experience in data roles, with a strong background in ETL processes or AI/ML technologies.
- Proven track record of managing and mentoring data teams, with experience leading large-scale projects.
- Fluent in English, with excellent communication and presentation skills.
- Experience in Modern Python (async IO, type annotations etc.)
- Strong proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch )
- Experience extracting data from PDFs (pdfminer, pdfplumber, PyMuPDF, etc.)
- NLP, text classification and/or entity extraction (using spaCy, scikit-learn, nltk, etc.)
- Experience with RAG systems and embedding models (OpenAI, Any other LLM)
- Understanding of the database ,SQLAlchemy (ideally with PostgreSQL)
Why Join Us:
- Be a part of a transformative project with significant business impact.
- Work with a talented and diverse team in a dynamic environment.
- Opportunities for professional growth and development.
- Kindness days: take up to two days off each year to work at a social organization of their choice, and personally contribute to building a better future for all.
- Birthday leave, anniversary leave and increasing annual leave based on tenure. (start at 14 days).
- Generous baby support bonuses.
- State and Private insurance coverage.
- Competitive base salary.
