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

Python/Pyspark Engineer

Location

United States , Jersey City

Salary:

115000.00 USD / Year

Realign

Expiration Date

Until further notice

Requirements

Strong proficiency in Python, packaging, dependency management, and virtual environments
Hands-on experience with PySpark, including Spark performance tuning (partitioning, caching, broadcast joins, memory optimization)
Expertise in data ingestion (batch/stream), schema management, and robust error-handling/retry logic
Solid unit and integration testing practices, including data quality validations
Experience with CI/CD pipelines (Azure DevOps/Jenkins), Git branching strategies, and artifact versioning
Working experience with Cloudera/Hadoop (HDFS, Spark, Hive/Impala) and Databricks (Delta Lake, clusters, jobs, notebooks)
Knowledge of observability techniques: structured logging, metrics, tracing, and debugging in distributed systems
Secure coding practices including secrets management, PII protection, and compliance-aware development
Strong documentation discipline for frameworks, reusable components, and best-practice patterns
Effective collaboration with Cloud Architects and Data Ops to ensure stable and supportable pipelines

Job Responsibility

Design and develop scalable Python/PySpark ingestion and transformation pipelines
Implement schema evolution logic, validation frameworks, and resilient error-handling mechanisms
Optimize Spark jobs for performance, cost efficiency, and production readiness
Integrate all jobs into automated CI/CD pipelines, ensuring versioning and release governance
Work closely with Ops teams to ensure proper monitoring, logging, and operational supportability
Participate in Agile ceremonies, sprint planning, code reviews, and demo sessions

Fulltime

Lead Data Engineer

We’re looking for a highly skilled Lead Data Engineer to provide technical leade...

Location

United Kingdom

Salary:

70000.00 GBP / Year

Zebra People

Expiration Date

Until further notice

Requirements

Strong consultancy background across ETL/ELT, data warehousing and big‑data solutions
hands‑on delivery experience
proven leadership/mentoring in an onshore–offshore model
Proficiency with ETL tools and cloud data services (AWS preferred — e.g., Glue
with exposure to Azure Data Factory)
experience implementing CI/CD for data
knowledge of Informatica tools is beneficial
Experience working with major databases such as Postgres, Redshift, Oracle, SQL Server or Snowflake
strong SQL capability
working knowledge of Python/PySpark

Job Responsibility

Provide technical leadership across data engineering, delivery execution and project governance
Interpret detailed technical requirements and deliverables across multiple projects
Act as subject‑matter expert in data‑engineering technologies
Contribute to effective solution design
Mentor, support and guide developers
Balance involvement across various initiatives to provide direction, technical leadership and oversight

Fulltime

Senior Data Engineer II

We are seeking a highly skilled Senior Data Engineer with 5+ years of experience...

Location

India , Bangalore

Salary:

Not provided

InXiteOut

Expiration Date

Until further notice

Requirements

5+ years of experience with SQL
4+ years of hands-on experience in building data pipelines using Python/PySpark
4+ years of experience with the Azure ETL stack
Strong understanding of: Data modeling
Distributed computing
Data warehousing concepts
Experience with code versioning tools (Git)
Familiarity with Agile tools such as Azure DevOps or Jira
Bachelor’s degree in: B.Sc / BCA / B.Tech / B.E (any specialization)
Strong verbal and written communication skills

Job Responsibility

Design, develop, and maintain robust data pipelines using Python/PySpark
Build and optimize ETL workflows for large-scale data processing
Work with Azure services such as: Azure Blob Storage
Azure Data Lake
Azure Data Factory
Azure Synapse Analytics
Ensure high performance and reliability of data systems
Collaborate with cross-functional teams to understand data requirements
Implement best practices for data governance, security, and quality
Use version control tools like Git and manage tasks via Azure DevOps or Jira

Fulltime

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

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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