Explore Python jobs in Python Engineer Technology (Software Development) · Budapest ·
Posted 13 days ago
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Join Us in Making Cities Greener and More Sustainable
Are you passionate about using technology to combat climate change and enhance urban living? At greehill, we’re looking for an Algorithm Engineer - Sensor Data Processing to help us shape the future of sustainable cities. Join our mission to make urban environments around the world greener, healthier, and more resilient.
Who We Are
greehill is a global leader in nature-based smart-city solutions, driven by a passion for sustainability and innovation. We harness advanced technologies like remote sensing and machine learning to transform urban green spaces. Our cloud-based platform empowers cities to improve citizen well-being while reducing operational costs, using data from LiDAR scanners and camera systems to create digital twins of urban trees. With offices in Budapest, Berlin, Singapore, San Francisco, and Paris, we’re driving sustainability on an international scale.
As an Algorithm Engineer - Sensor Data Processing at greehill, you will play a pivotal role in developing innovative algorithms to extract valuable insights from diverse sensor data sources, including LiDAR, images, and satellite imagery. Your work will directly contribute to creating accurate digital representations of urban trees and green spaces, supporting our mission to enhance urban sustainability.
Key Responsibilities
- Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery, extracting meaningful information about urban trees and environments.
- Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features.
- Develop techniques for preprocessing raw sensor data, including noise filtering, sampling, and quantization, to ensure data quality and usability.
- Optimize algorithms for performance and scalability to handle large, complex datasets efficiently.
- Integrate data from multiple sensor types to enhance the accuracy and detail of digital representations.
- Contribute to the continuous improvement of our data processing tools, methods, and pipelines.
- Stay informed about advancements in sensor data processing, computer vision, and geospatial analysis to bring fresh ideas to the team.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Programming Skills: Strong proficiency in Python, with experience using libraries such as numpy, pandas, open3d, and opencv for data processing and analysis.
- Algorithmic Expertise: Solid foundation in algorithms and data structures, with a focus on solving complex, real-world problems.
- Sensor Data Experience: Practical knowledge of processing sensor data (e.g., LiDAR point clouds, image data).
- Computer Vision: Familiarity with computer vision techniques, such as feature detection, segmentation, or 3D reconstruction, applied to real-world data.
- Critical Thinking: Strong problem-solving skills, attention to detail, and a creative approach to tackling technical challenges.
- Teamwork: Ability to collaborate effectively with multidisciplinary teams, including engineers and machine learning specialists.
- Communication: Excellent skills in conveying technical concepts clearly and concisely.
Preferred Qualifications
- Experience with geospatial data processing and tools (e.g., GDAL, rasterio) for handling satellite imagery or remote sensing data.
- Knowledge of mapping techniques, such as structure from motion or SLAM (Simultaneous Localization and Mapping), for spatial data analysis.
- Familiarity with clustering methods (e.g., HDBSCAN, DBSCAN) or similar techniques for segmenting and analyzing sensor data.
- Understanding of data structures like graphs and trees for representing complex spatial information.
- Exposure to machine learning tools (e.g., sklearn, pytorch) is a plus, though not the focus of this role.
- Experience optimizing algorithms for computational efficiency and scalability.
Why Join Us?
At greehill, we’re assembling a team of curious, purpose-driven, out-of-the-box thinkers eager to tackle a high-impact mission. You’ll help shape the future of cities worldwide, making them more sustainable and resilient, with the chance to see the tangible impact of your contributions in urban environments.
We’re looking for high-performing experts who embrace ownership with a can-do attitude and a self-starter mentality. You’ll thrive in our collaborative, innovative team, addressing complex challenges and redefining what’s possible. Your initiative and fresh perspectives will drive real change.
We seek individuals who strive for excellence and are committed to bringing their best every day. You’ll be surrounded by a passionate team that shares your dedication to making a difference, offering a dynamic environment where your efforts matter.
If you’re ready to contribute to a mission that counts and collaborate with driven professionals, join us at greehill.
Please note, our office attendance is high, with employees working on-site four days a week.
We appreciate the interest of all job seekers in our organization. However, please note that at this time, we are unable to consider applications from outside of Hungary, who require a work permit for this position. We thank you for your understanding and encourage you to explore other opportunities with greehill in the future.
#J-18808-LjbffrPython Developer
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Job Description – Python Developer / AI Engineer
Position Overview
We are looking for a talented Python Developer / AI Engineer to join our product team. This role will focus on developing AI-driven features, automation tools, and backend services that complement our HRIS and payroll platform. The ideal candidate will have a strong foundation in Python development, experience working with AI/ML frameworks, and the ability to design scalable and high-performance backend solutions.
Key Responsibilities
Design, develop, and maintain backend services, APIs, and automation tools using Python (Flask, FastAPI, or Django).
Integrate LLMs (e.g., LLaMA 3/4) and AI frameworks into our SaaS platform for chatbots, natural language processing, and workflow automation.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines with vector databases (FAISS).
Develop data processing workflows for payroll/HR datasets, ensuring accuracy and performance.
Collaborate with PHP developers to integrate AI modules seamlessly into the HRIS portal.
Work on STT (speech-to-text) and TTS (text-to-speech) integration with desktop and mobile devices.
Ensure security and data confidentiality for all AI-driven features.
Conduct testing, troubleshooting, and performance tuning of Python-based services.
Stay up-to-date with AI/ML trends, open-source tools, and cloud-based deployments (AWS, GCP, Azure).
Requirements
Bachelor's degree in Computer Science, Data Science, or related field (or equivalent experience).
Proven experience as a Python Developer (3+ years preferred).
Proficiency with Python frameworks: FastAPI, Flask, or Django.
Strong experience with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
Familiarity with vector databases (FAISS).
Solid understanding of data structures, algorithms, and performance optimization.
Experience with RESTful API development and cloud deployment (AWS preferred).
Good understanding of security, encryption, and compliance for sensitive data.
Strong problem-solving and collaboration skills.
Nice-to-Have
Experience fine-tuning or deploying open-source LLMs (LLaMA 3/4).
Knowledge of parallel computing and HPC environments.
Familiarity with containerization (Docker, Kubernetes).
Exposure to payroll/HRIS systems or financial data processing.
Experience with voice AI (speech recognition, text-to-speech engines).
Python Developer
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We are working with a leading global hedge fund seeking an experienced Python Developer to join their Singapore office. This is a high-profile role where you will act as a key point of contact for the region, supporting a broad range of strategies and business growth initiatives
Why This Role?
- High visibility: You'll own Treasury operations across the region and work directly with Portfolio Managers, COOs, and senior stakeholders.
- Impact: Your expertise in funding and liquidity will directly influence trading efficiency and profitability.
- Growth: Be part of a world-class platform with a proven track record of developing top talent.
What We're Looking For:
- (Minimum) 5+ years of development experience, ideally within the buy-side or a top-tier financial institution.
- This position is available at: Associate / Senior Associate / AVP level (exciting buy-side compensation on offer)
- Strong background in Delta One, Stock Borrow & Lending, or similar financing/Treasury environments.
- Confident, self-driven professional who can work independently , take initiative, and operate with minimal hand-holding.
- Solid understanding of funding markets across Asia; experience with FX swaps or restricted currency markets is a plus.
- Strong technical and analytical skills.
- Excellent communication skills, with the ability to influence stakeholders and counterparties effectively.
What's on Offer:
- A strategic and visible role within a high-performing global platform .
- Opportunities to shape Treasury operations and contribute to regional growth .
- A collaborative environment with career progression potential.
- Fantastic compensation, benefits + perks
If you're interested in learning more about this firm and role, please apply today with a copy of your resume or a link to your LinkedIn profile, for a chance to learn more
BAH Partners specialize in placing the leading technology and quantitative talent into Asia Pacific's premier financial and technology-driven organizations. If you would like more information, or to confidentially discuss your career options, please contact me at
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Python Developer
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We are hiring for Python Developer - SAP Integration Specialist for a client that is based in Marina Bay Singapore
This is a hybrid role that follows a Dayshift Schedule (9 AM)
Salary is OPEN based on experience
At least 5 years of solid hands on Experience is required with the below:
- Must be a in Singapore or has Permanent Residenct
- Strong Python development experience
- Strong SQL
- Strong AWS experience
- API development
- ETL process
- SAP SuccessFactors
- SAP Business Technology Platform (BTP)
- SAP integration patterns and best practices
We are seeking a skilled Python Developer with SAP expertise to lead the integration of SAP SuccessFactors, Payroll & Compensation Systems, and other HR Tools with our application ecosystem using Python and AWS technologies.
Required Qualifications
· Python: 5+ years of hands-on development experience
· SQL: 3+ years with relational databases (PostgreSQL and/or MS SQL preferred)
· AWS Platform: 2+ years practical experience with:
o ECS (Elastic Container Service)
o AWS Lambda
o AWS API Gateway
· Database Knowledge: Strong understanding of relational database design and optimization
· API Development: Experience building and consuming RESTful APIs
· ETL Processes: Proven experience using Python for data extraction, transformation, and loading
· Solution Architecture: Ability to analyze business and technical requirements and propose comprehensive solution architectures for complex integration scenarios
SAP Expertise (Required)
· Practical experience with SAP SuccessFactors and SAP Business Technology Platform (BTP)
· Understanding of SAP integration patterns and best practices
Key Responsibilities
· Design and implement integrations between SAP SuccessFactors and existing applications
· Develop Python-based ETL solutions for data synchronization
· Deploy and maintain integration services on AWS infrastructure
· Create and maintain API endpoints for system connectivity
· Ensure data quality and system reliability across integrated platforms
Job Types: Full-time, Permanent
Pay: From $10,000.00 per month
Experience:
- Software development: 5 years (Required)
- Python: 5 years (Required)
- SQL: 3 years (Required)
- AWS: 3 years (Required)
- APIs: 3 years (Required)
- SAP SuccessFactors: 3 years (Required)
- SAP BusinessObjects: 2 years (Preferred)
- sap integration: 3 years (Required)
- ETL: 3 years (Required)
Location:
- Singapore (Required)
Work Location: In person
Python Developer
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Python developer with data migration experience
About the Role
We are seeking a skilled Python Developer with hands-on
experience in data migration to join our dynamic team. You will
be responsible for designing, developing, and executing data
migration strategies across legacy and modern systems,
ensuring data integrity, performance, and scalability.
�� Key Responsibilities
Develop and maintain Python scripts for data extraction,
transformation, and loading (ETL)
Required Skills & Qualifications
Strong proficiency in Python (including libraries like Pandas,
SQLAlchemy, etc.)
Proven experience in data migration projects (on-prem to cloud,
legacy to modern DBs, etc.)
Solid understanding of relational databases (e.g., PostgreSQL,
MySQL, Oracle)
Experience with ETL tools and frameworks
Familiarity with cloud platforms (AWS, Azure, GCP) and their data
services
Knowledge of data governance, security, and compliance
standards
Excellent problem-solving and communication skills
Job Type: Full-time
Python Developer
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Job Description
- At least 3 years of experience as a Python Tech Stack Developer.
- Must be familiar with a project's complete life cycle implementation of at least 1 to 2 projects.
- Develop and maintain Python-based applications.
- Utilize expertise in Langchain and Langgraph for natural language processing tasks.
- Build APIs using FastAPI
- Have UI skillset in web components, Lit, typescript
- Understand CICD, e.g. git/Jenkins
- Develop, enhance, and maintain Python-based applications with a focus on scalability, reliability, and performance.
- Contribute to the end-to-end project lifecycle, from requirements gathering and design to implementation, testing, deployment, and support (must have worked on at least 1–2 full life cycle implementations).
- Implement Natural Language Processing (NLP) solutions leveraging LangChain and LangGraph for intelligent workflows and conversational AI applications.
- Design and build robust, secure, and high-performing APIs using FastAPI.
- Collaborate with front-end teams to integrate web components, Lit, and TypeScript into applications.
- Ensure smooth CI/CD pipelines using tools like Git and Jenkins, following best practices for automation and DevOps.
- Work closely with cross-functional teams (Product, UI/UX, QA, DevOps) to deliver business-driven solutions on time.
Lead Python
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Software Engineering Skills
- You have a degree in computer science or a related field (bachelor's/master's).
- You value high-quality code and want to improve and share your knowledge of the latest technologies every day.
- You have at least 5 years of professional experience in the Python stack and a second stack in either Java or .NET.
- You have multiple years of experience with state-of-the-art architectures and enjoy developing modern cloud native applications.
- You have worked in web front-end development with frameworks like ReactJS or Angular, applying in-depth knowledge of JavaScript and/or TypeScript.
- You have managed the lifecycle of full-stack applications, including CI/CD, automated testing frameworks, and vulnerability scanning tools. Hands-on experience with infrastructure and platform is a plus.
- You have strong communication skills and like making decisions.
- You have experience effectively communicating with stakeholders outside of your team in agile environments. Experience as team lead or Scrum Master is a plus.
Data & Analytics Engineering Skills
- You have hands-on experience with Python libraries for large-scale data analytics, such as pandas, polars, duckdb, or PySpark.
- You are comfortable conducting quantitative research and statistical analysis, applying computational methods to extract insights from complex data.
- You have practical knowledge of ML and data science packages (e.g.,scikit-learn, SciPy, NumPy, TensorFlow, PyTorch) and know how to integrate them into production-ready systems.
- You bring strong foundations in quantitative computing concepts (optimization, probability, numerical methods, statistical inference).
- You can bridge software engineering and data engineering, enabling end-to-end solutions that power both applications and advanced data insights.
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Python Engineer
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Role : Python Engineer
Location : Singapore
Description:
We are seeking a skilled Python Engineer to support the development and validation of Generative AI systems. The ideal candidate will work on integrating and customizing
the Guardrail library to enforce safety, reliability, and compliance in GenAI outputs. You will also design and implement robust test and validation scripts, particularly for
Retrieval-Augmented Generation (RAG) pipelines.
Key Responsibilities:
- Develop and maintain Python scripts for testing and validating GenAI models.
- Build the the Guardrail library to enforce output constraints and safety checks.
- Design validation frameworks for RAG-based GenAI systems.
- Collaborate with AI Governance team and product teams t
- Strong proficiency in Python.
- Hands-on experience with Generative AI, especially RAG architectures.
- Familiarity with LLM evaluation techniques and safety frameworks such as Guardrail AI, Llama
- Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
- Knowledge of prompt engineering and model governance is desirable.
Requirements:
- More than 1 year of experience on Gen AI Engineering, more than 3 years of experience on AI Engineering is preferable.
- Strong proficiency in Python.
- Hands-on experience with Generative AI, especially RAG architectures.
- Familiarity with LLM evaluation techniques and safety frameworks.
- Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
- Knowledge of prompt engineering and model governance is desirable.
Job Type: Full-time
Pay: $4, $12,228.48 per month
Python Developer
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Who we are
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects since 2007 – this is made possible by an international team of 7600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential.
At Amaris Consulting, we strive to provide our candidates with the best possible recruitment experience.
We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:
Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you The objective? Learn about you, understand your motivations, and make sure we have the right job for you
Interviews: (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your manager of course, but also other people related to your future role. We will talk in depth about you, your experience and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris Consulting: our culture, our roots, our teams, and your career opportunities
Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
As every role is different, we adapt the process accordingly, always focusing on the best possible candidate experience. We look forward to meeting you
Job description
Join our team and start a new adventure in an international and dynamic environment where you will be able to fulfil your career expectations in a fast-growing organization.
Being a consultant at Amaris Consulting means positioning yourself as a technical and functional expert in an industrial field, but above all, being an ambassador of our organization to clients thanks to:
- Your interpersonal skills and ability to listen in order to build a strong relationship of trust with our clients and fully understand their challenges and issues
- Your curiosity and eagerness to learn, as we support over 1000 clients from all sectors worldwide
Your missions
- Develop and maintain data pipelines and ETL/ELT processes primarily in Python, using modern data frameworks and libraries (e.g. Pandas, PySpark, Airflow).
- Ensure reliability and maintainability through unit and integration testing.
- Collaborate with data and analytics teams to transform requirements into production-grade Python data solutions.
- Apply DevOps and CI/CD practices to automate deployment, testing, and monitoring of data pipelines.
- Write clean, efficient, and well-tested Python code, and contribute to continuous improvement through code reviews and engineering best practices.
- Document technical designs and maintain system documentation for transparency and scalability.
Your profile
- Academic background: Computer Science, Information Technology or related fields.
- At least 5+ years of experience with pyhton / data engineering and software development.
- Proficiency in Python for data engineering tasks.
- Experience with unit and integration testing.
- Knowledge of DevOps practices and Agile methodologies.
- Strong software engineering, analytical and problem-solving skills.
- You are a good team player with excellent communication skills.
What we offer
- An international community bringing together 110+ different nationalities
- An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
- A robust training system with our internal Academy and 250+ available modules
- A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
- Strong commitments to CSR, notably through participation in our WeCare Together program
Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
Job Types: Full-time, Permanent
Pay: From $7,000.00 per month
Experience:
- Python: 4 years (Preferred)
Work Location: In person
Python & Data Engineer
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Job Title: Python / Data Engineer – Quantitative Investment Support
Location: Onsite – Singapore
Employment Type: Contract
Experience Required: 4–8 years
About the Role
We are looking for a highly skilled Python/Data Engineer with strong experience in data manipulation, statistics, and machine learning models to support our Quantitative Investment team . The ideal candidate should be comfortable working with dataframes, DuckDB (or similar technologies) , and have a good foundation in quantitative analysis. This role involves building, maintaining, and optimizing data pipelines and providing analytical support for investment research.
Key Responsibilities
- Build, optimize, and maintain data pipelines and workflows for quantitative investment strategies.
- Perform data manipulation, cleaning, and transformation using Python (Pandas, Polars, DuckDB).
- Work closely with quantitative researchers and investment professionals to provide high-quality datasets and analytical tools.
- Support the development and validation of statistical and ML models for investment decision-making.
- Ensure data quality, accuracy, and reliability across multiple data sources.
- Collaborate with stakeholders to translate investment requirements into technical solutions .
- Automate data extraction, feature engineering, and reporting tasks to improve research efficiency.
- Contribute to performance monitoring and backtesting frameworks for quantitative models.
Required Skills & Qualifications
- Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field .
- 4–8 years of hands-on experience in Python programming with strong knowledge of dataframes (Pandas/Polars) and DuckDB/SQL .
- Strong understanding of statistics, probability, and ML models (regression, classification, time series).
- Experience working with financial datasets and supporting quantitative research is preferred.
- Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).
- Good understanding of data structures, algorithms, and performance optimization .
- Strong problem-solving and analytical skills.
- Exposure to quantitative finance, portfolio optimization, or risk modeling .
- Experience with cloud platforms (AWS/Azure/GCP) for data engineering.
- Familiarity with big data technologies (Spark, Dask, PyArrow).
- Knowledge of backtesting frameworks and financial modeling tools .
- Experience in DevOps/CI-CD for data workflows .
- Ability to work in a fast-paced, research-driven environment .
- Strong communication skills to collaborate with quants, data scientists, and portfolio managers .
- Detail-oriented with a focus on data quality and reproducibility .
When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto's website ( )
Confidentiality is assured, and only shortlisted candidates will be notified for interviews.