Python/Pyspark Engineer Job at Signify Technology (Bratislava)

Associate MLOps Analyst

The Associate MLOps Analyst will be a key member of Circle K's Data & Analytics ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
1-2 years of relevant working experience in MLOps
Knowledge of core computer science concepts such as common data structures and algorithms, OOPs
Programming languages (R, Python, PySpark, etc.)
Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
Exposure to ETL tools and version controlling
Experience in building and maintaining CI/CD pipelines for ML models
Understanding of machine-learning, information retrieval or recommendation systems

Job Responsibility

Collaborate with data scientists to deploy ML models into production environments
Implement and maintain CI/CD pipelines for machine learning workflows
Use version control tools (e.g., Git) and ML lifecycle management tools (e.g., MLflow) for model tracking, versioning, and management
Design, build as well as optimize applications containerization and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure
Automating pipelines using understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow
Implement model monitoring and alerting systems to track model performance, accuracy, and data drift in production environments
Work closely with data scientists to ensure that models are production-ready
Collaborate with Data Engineering and Tech teams to ensure infrastructure is optimized for scaling ML applications
Optimize ML pipelines for performance and cost-effectiveness
Help the Data teams leverage best practices to implement Enterprise level solutions

Data Engineer

This role involves designing, building, and optimizing data ingestion, transform...

Location

United States , Radnor

Salary:

120000.00 - 150000.00 USD / Year

Beacon Hill

Expiration Date

Until further notice

Requirements

3+ years of professional data engineering experience
Strong hands‑on expertise with: Azure Databricks (Spark/PySpark), Azure Data Factory (pipelines, data flows, orchestration), Azure Data Lake Storage, SQL and Python/PySpark scripting
Experience building scalable, reliable ETL/ELT solutions in cloud environments
Familiarity with CI/CD, version control, and DevOps workflows for data solutions

Job Responsibility

Designing, building, and optimizing data ingestion, transformation, and delivery pipelines that support enterprise analytics, reporting, and operational data needs

Fulltime

Data Engineer

We are seeking a Data Engineer with strong experience in Azure cloud technologie...

Location

United States , Radnor

Salary:

120000.00 - 150000.00 USD / Year

Beacon Hill

Expiration Date

Until further notice

Requirements

3+ years of professional data engineering experience
Strong hands‑on expertise with: Azure Databricks (Spark/PySpark), Azure Data Factory (pipelines, data flows, orchestration), Azure Data Lake Storage, SQL and Python/PySpark scripting
Experience building scalable, reliable ETL/ELT solutions in cloud environments
Familiarity with CI/CD, version control, and DevOps workflows for data solutions

Job Responsibility

Designing, building, and optimizing data ingestion, transformation, and delivery pipelines that support enterprise analytics, reporting, and operational data needs

Fulltime

Graduate Data Engineer

As a Graduate Data Engineer, you will build and maintain scalable data pipelines...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
Up to 2 years of experience building data pipelines at work or through internships
Can write clear and reliable Python/PySpark code
Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving

Job Responsibility

Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

Senior Data Engineer

Sr Data Engineer. SR DE-I: Highly skilled Data Engineer with minimum 5+ years of...

Location

India , Kolkata

Salary:

Not provided

InXiteOut

Expiration Date

Until further notice

Requirements

Minimum 5+ years of relevant experience in SQL, PySpark, ETL, Data Lakes and Azure Tech Stack
3+ years of experience in building data Pipelines with Python/PySpark
4+ years of experience in Azure ETL stack (eg. Blog Storage, Data Lake, Data Factory, Synapse)
4+ years of experience with SQL
Proficient understanding of code versioning tools such as Git and PM tool like Jira
Excellent verbal and written communication skills
UG: B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization
A good internet connection is a must

Fulltime

Data Architect

We are seeking a talented and experienced Data Architect to join our team. The D...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Full-Time bachelor’s or master’s degree in engineering/technology, computer science, information technology, or related fields
10+ years of total experience in data modeling and database design
experience in Retail domain will be added advantage
8+ years of experience in data engineering development and support
3+ years of experience in leading technical team of data engineers and BI engineers
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions
Strong communication, interpersonal, collaboration skills along with leadership capabilities
Ability to work effectively in a fast-paced, dynamic environment as cloud SME

Job Responsibility

Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components
Design and develop data models using industry-standard modeling techniques and tools
Perform data profiling, data lineage and analysis to understand data quality, structure, and relationships
Optimize data models for performance, scalability, and usability by creating optimal data storage layer
Define and enforce data modeling standards, best practices, and guidelines
Participate in data governance initiatives to ensure compliance with data management policies and standards
Work closely with database administrators and developers to implement data models in relational and non-relational database systems
Conduct data model reviews and provide recommendations for improvements
Stay updated on emerging trends and technologies in data modeling and data management
Conduct continuous audits of data management system performance and refine where necessary

Fulltime

Data Architect

We are seeking a talented and experienced Data Architect/ Modeller to join our t...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Full-Time bachelor’s or master’s degree in engineering/technology, computer science, information technology, or related fields
10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage
8+ years of experience in data engineering development and support
3+ years of experience in leading technical team of data engineers and BI engineers
Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools
Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks
Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions
Strong communication, interpersonal, collaboration skills along with leadership capabilities
Ability to work effectively in a fast-paced, dynamic environment as cloud SME
Act as single point of contact for all kinds of data management related queries to make data decisions

Job Responsibility

Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components
Design and develop data models using industry-standard modeling techniques and tools
Perform data profiling, data lineage and analysis to understand data quality, structure, and relationships
Optimize data models for performance, scalability, and usability by creating optimal data storage layer
Define and enforce data modeling standards, best practices, and guidelines
Participate in data governance initiatives to ensure compliance with data management policies and standards
Work closely with database administrators and developers to implement data models in relational and non-relational database systems
Conduct data model reviews and provide recommendations for improvements
Stay updated on emerging trends and technologies in data modeling and data management

Fulltime

New

Data & AI Engineer

As a Data & AI Engineer at NTT DATA, you will design and implement scalable data...

Location

Belgium , Diegem

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

3–7+ years in data/AI engineering (or equivalent impact) delivering production systems on Azure
Python (production code, packaging, testing)
PySpark
SQL
Databricks (Repos/Workflows, Delta Lake, Unity Catalog, MLflow)
Azure AI Foundry (projects, prompt/eval flows, model endpoints)
Azure AI Search (index design, vector embeddings, skillsets/indexers, semantic search)
Azure OpenAI (prompt design, grounding, safety filters, function/tool calling, evaluation)
Terraform (AzureRM + Databricks providers), modular patterns, pipelines, approvals
Git & CI/CD (Azure DevOps or GitHub), code reviews, trunk‑based or GitFlow

Job Responsibility

Build reliable batch/stream pipelines in Databricks (Python/PySpark, SQL) with Delta Lake and Unity Catalog
Implement best practices for code quality, testing, documentation, lineage, and cost‑efficient performance
Design and deliver GenAI solutions using Azure AI Foundry (projects, prompt flow/evaluation), Azure OpenAI (chat/completions, tool/function calling), and Azure AI Search (indexing, vector search, semantic ranking) with robust RAG patterns
Instrument evaluation, grounding, safety checks, and quality metrics for AI features
Use MLflow for experiment tracking, model packaging, and deployment
standardize environments and feature stores where relevant
Build CI/CD for data and AI workloads (e.g., Azure DevOps/GitHub Actions) and implement monitoring & observability (logs, metrics, drift)
Provision Azure and Databricks resources with Terraform (modular design, workspaces/state, policies, service principals, Key Vault)
Apply RBAC, secrets management, data masking, and governance (Unity Catalog / Purview) with privacy‑by‑design and compliance best practices
Partner with product owners, architects, and SMEs to translate use‑cases into simple, secure, cost‑aware solutions

Fulltime

Python/Pyspark Engineer

Signify Technology

Location:
Slovakia , Bratislava

Category:
IT - Software Development

Contract Type:
B2B

Salary:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 12, 2025

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December 12, 2025