Software Engineer 2 - Azure Data Job at Microsoft Corporation (Belgrade)

Software Engineer 2 / Senior Software Engineer

We are looking for an experienced Software Engineers for our Bangalore location ...

Location

India , Bengaluru

Salary:

Not provided

Komprise, Inc.

Expiration Date

Until further notice

Requirements

Solid grasp of computer science fundamentals and especially data structures, algorithms, multi-threading
Ability to solve difficult problems with a simple elegant solution
Should have solid object-oriented programming background with impeccable design skills
Experience in developing management applications and performance management applications is ideal
Experience with object-based file systems and REST interfaces is a plus (e.g. Amazon S3, Azure, Google Cloud Service)
Should have a BE or higher in CS, EE, Math or related engineering or science field
At least 5+ years of experience in software deployment
Tech Stack: Java, Maven Virtualisation, SaaS, Github, Jira, Slack, Cloud Solutions and Hypervisors

Job Responsibility

Responsible for designing and developing features that powers Komprise data management platform to manage billions of files and petabytes of data
Responsible for designing of major components and systems of our product architecture, ensuring that Komprise data management platform is highly available and scalable
Responsible for writing performance code, evaluate feasibility, develop for quality and optimize for maintainability
Work in agile, customer focused and fast paced team with direct interaction with the customers
Responsible for analysing customer escalated issues and provide resolutions in a timely manner
Should be able to design and implement highly performant, scalable distributed systems

Software Engineer Consultant

HIKE2 has an exciting opportunity for a Software Engineer Consultant. We are see...

Location

United States , Chicago

Salary:

75000.00 - 140000.00 USD / Year

Hike2

Expiration Date

Until further notice

Requirements

Bachelor's degree
1-4 years of experience building and deploying software solutions
Relevant experience in Software Engineering, Data Science, or Data Engineering
Experience with SCRUM and SDLC
Familiarity with BIG cloud platforms and architecture, such as AWS/Azure
Strong experience working with APIs
2-3 experience in python and cloud infrastructure
2-3 years experience setting up or optimizing computer resources
Light data modeling, statistical modeling, or data monitoring experience
Proficiency in various AI components and solutions

Job Responsibility

Develop and build software that integrates to a variety of technologies to automate decisions and actions
Develop and integrate with APIs
Ability to shape and influence the technical design and architecture
Design, develop, and maintain scalable and efficient solutions that combine custom code with integration
Collaborate with cross-functional teams to understand business requirements and implement solutions that meet business needs
Optimize and troubleshoot software for performance and reliability
Stay updated on industry trends and best practices in software engineering
Work closely with design, strategy, data scientists, analysts, and other stakeholders to understand the technical solution and the role of technology

What we offer

Six national health medical plans to choose from, including a HSA option
Dental & Vision options
Retirement Savings with a Safe Harbor 401K plan with immediate vesting and company match
Long and short term disability coverage options
Life Insurance and travel insurance
Flexible PTO policy and 10 paid holidays
Reimbursement for certifications related to your role
Opportunity for career development, advancement and learning

Fulltime

Data Engineer

As a Data Engineer, you’ll build and refine the pipelines, data models, and serv...

Location

United States , Redmond

Salary:

155000.00 - 175000.00 USD / Year

2A Consulting

Expiration Date

Until further notice

Requirements

Proven ability to design and build end-to-end data systems, from ingestion through cleaning, structuring, storage, and serving
Experience building and shipping data products that deliver practical value
Demonstrated impact using AI models in data workflows (applied use, not ML research)
5+ years of software or data engineering experience, including at least 2 years of hands-on work with data pipelines
Comfortable defining architecture and starting systems from scratch, working independently in a small cross-functional team
Proficiency in Python, SQL, or similar languages used in data engineering workflows

Job Responsibility

Build and maintain core data pipelines
Build and maintain end-to-end ingestion pipelines for documents, datasets, code repositories, videos, transcripts, and internal knowledge sources
Clean, normalize, structure, and store data in formats that support both web applications and AI-driven use cases
Use “out of the box” Microsoft tools—such as Fabric, Azure services, Cosmos DB, or Copilot Studio—to create reliable, maintainable systems
Enrich and model research data
Use AI models to transform unstructured content into structured metadata and durable knowledge assets
Design the architecture and foundational data systems, establishing the patterns and infrastructure for a new, scalable environment
Develop and refine embeddings, vector indexes, and retrieval components to support semantic search and grounding scenarios
Build backend and data services
Build data services, APIs, and backend components that power internal applications and agent-supported workflows

What we offer

Flexible time-off plan
100% employer-paid medical, dental, and vision insurance
Employer-paid life insurance for those enrolled in medical coverage
401(k) plan with company match
Fertility, surrogacy, and adoption benefits
Fitness and caregiver benefits
Employee Assistance Program
100% employer-paid short- and long-term disability coverage

Fulltime

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Data Engineer

As a Senior Data Engineer on our Core Engineering Data Team, you will design and...

Location

United States , Boston

Salary:

111800.00 - 164000.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
4+ years of experience in software engineering, data engineering, or a related field, with at least 2 years focused on data operations or data infrastructure
Strong knowledge of AWS or other public cloud platforms (e.g., Azure, GCP)
Strong SQL knowledge and experience optimizing for data warehousing technologies like AWS Athena
Strong knowledge of Python for use in data transformation
Hands-on experience with ETL/ELT, schema design, and datalake technologies
Hands-on experience with data orchestration tools like Dagster, Airflow, or Prefect
Experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
Familiarity with various data and table formats (JSON, Avro, Parquet, Iceberg)
Love of data and a passion for building reliable data products

Job Responsibility

Collaborate with analysts, engineers, product managers, and stakeholders to design and implement solutions for Product and Engineering data workflows
Identify areas for improvement and contribute to centralized data platform
Manage data pipeline, orchestration, storage, and analytics infrastructure for Product and Engineering
Monitor performance and reliability of data pipelines, implementing solutions for scalability and efficiency
Optimize table structures to support query and usage patterns
Partner with producers of data across SimpliSafe to develop an understanding of data creation and meaning
Support data discovery, catalog, and analytics tooling
Implement and maintain data security measures and ensure compliance with data governance policies
Design and implement testing strategies and data quality validation to ensure the accuracy, reliability, and integrity of data pipelines
Contribute to the formation of our new team, assisting with the development of team norms, practices, and charter

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits

Fulltime

Data / Machine Learning Engineer

Inetum is in the midst of a strategic project to develop our competences in the ...

Location

Poland , Warsaw

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Minimum of 2 years' experience as a Machine Learning Engineer or related position
Proficiency in Python and experience with ML frameworks (e.g. TensorFlow, PyTorch)
Knowledge of mathematics and statistics, including linear algebra, differential calculus and probability
Experience of working with large datasets and their processing and analysis
Familiarity with cloud tools and platforms, such as Azure Machine Learning or Google Vertex AI
Ability to work in a team and communicate with technical and non-technical stakeholders

Job Responsibility

Design, development and implementation of machine learning models and AI systems in cloud environments (Azure, Google Cloud)
Creating and maintaining data pipelines: from data extraction and cleaning to feature engineering and preparing data for modelling
Selection of appropriate ML algorithms and their implementation and optimisation in the context of specific business problems
Collaborating with Data Science, Data Engineering and Software Development teams to integrate models into production systems
Monitoring model performance, conducting A/B testing and updating models in response to changing data and requirements
Keeping abreast of the latest ML trends and technologies and proposing innovative solutions

What we offer

Flexible working hours
Hybrid work model
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
Generous referral bonuses, offering up to PLN6,000 for referring specialists

Fulltime

Lead Data Engineer

We're looking for a Lead Data Engineer to build the data infrastructure that pow...

Location

United States

Salary:

185000.00 - 225000.00 USD / Year

Zora

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, with at least 2 years in a technical leadership role
Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices.
Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar.
Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design

Job Responsibility

Design and build scalable data pipelines to ingest, process, and transform blockchain data, trading events, user activity, and market signals at high volume and low latency
Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform
Own ETL/ELT processes that transform raw onchain data from multiple blockchains into clean, reliable, and performant datasets used by product, engineering, analytics, and ML teams
Build and optimize data models and schemas that support both operational systems (serving live trading data) and analytical use cases (understanding market dynamics and user behavior)
Establish data quality frameworks including monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale
Collaborate with backend engineers to design event schemas, data contracts, and APIs that enable real-time data flow between systems
Partner with product and analytics teams to understand data needs and translate them into robust engineering solutions
Provide technical leadership by mentoring engineers, conducting code reviews, establishing best practices, and driving architectural decisions for the data platform
Optimize performance and costs of data infrastructure as we scale to handle exponentially growing trading volumes

What we offer

Remote-First Culture: Work from anywhere in the world!
Competitive Compensation: Including salary, pre-IPO stock options, token compensation, and additional financial incentives
Comprehensive Benefits: Robust healthcare options, including fully covered medical, dental, and vision for employees
Retirement Contributions: Up to 4% employer match on your 401(k) contributions
Health & Wellness: Free memberships to One Medical, Teladoc, and Health Advocate
Unlimited Time Off: Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness
Home Office Reimbursement: To cover home office items, monthly home internet, and monthly cell phone (if applicable)
Ease of Life Reimbursement: To cover everything from an Uber home in the rain, childcare, or meal delivery
Career Development: Access to mentorship, training, and opportunities to grow your career
Inclusive Environment: A culture dedicated to diversity, equity, inclusion, and belonging

Fulltime

Software Engineering Manager - Cloud Services

Seeking world-class talent to join the world’s leading distributor of bearings a...

Location

Poland , Krakow

Salary:

Not provided

Genuine Parts Company

Expiration Date

Until further notice

Requirements

8+ years’ experience in software engineering delivery (including 2+ years in a leadership role)
Consistent track record of leadership, teamwork, and delivering high-impact results
Extensive experience building enterprise-grade systems/applications supporting business priorities
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Ability to manage multiple projects - can identify primary and secondary objectives, prioritize time, and communicate timeline to team members and stakeholders
Ability and desire to take product/project ownership
Ability to work a flexible schedule based on department and Company needs
Partner with Analysts and Data Scientists on delivering reliable data that powers machine learning models for intent-based search
Experience in CI/CD, including automated quality assurance practices
Hands-on experience with programming languages and frameworks – Java preferred

Job Responsibility

Partnering with the cross-functional Motion team, implement the strategy and roadmap for modernizing across all functional domains
Implement the technology platforms architecture and execute on the roadmap to support building out the capabilities needed
Overall engineering accountability for services and integrations
Responsible for the delivery and support of the platform
Responsible for simplifying the complexity of current platforms and reducing the technical debt and total cost of ownership
Partner with peer leaders to accelerate and embed agile methodologies across the organization to increase customer-backed problem solving, to increase the pace of solution delivery, to accelerate innovation, and to enhance cross-functional collaboration
Recruit, manage, and motivate a team of engineers to develop best-in-class solutions

What we offer

We offer comprehensive benefit plans and programs designed to support your health and wellness, provide income protection and build financial security for your retirement

Software Engineer 2 - Azure Data

Microsoft Corporation

Location:
Serbia , Belgrade

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 01, 2026

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