Senior Platform Owner - Platform Engineering Jobs

GCP Senior Data Platform Engineer

HSBC is seeking an experienced professional for the role of GCP Data Platform Te...

Location

Poland

Salary:

Not provided

HSBC

Expiration Date

January 01, 2026

Requirements

Strong programming skills in Python (libraries, API connection, token usage)
demonstrable experience preparing and presenting architecture artefacts to design boards
experience providing feedback and technical knowledge to facilitate peer code review
using architecture patterns to accelerate decisions and design
experience with cloud and cloud architectures in GCP (GCP cloud composer, BigQuery, dataflow, Google Cloud Storage, Service accounts, GCP pub/sub, etc.)
knowledge of a wide range of technologies and solutions, using these to design creative and innovative solutions
a track record of owning and delivering solutions across a broad spectrum of the project delivery lifecycle involving mixed-shore resource in a complex stakeholder environment
the ability to communicate efficiently upwards (to business), downwards (to IT teams) and laterally (to peers, vendors, and client-side staff)
familiarity with technology concepts, roles, and terminology, and the ability to work closely with application architects and modelers
experience with API design and micro-service architectures

Job Responsibility

Work for the Data Platform Tech Manager, the Technical Lead needs to manage all technical aspects
define and maintain the technology stack and roadmap
provide key decisions in terms of stack, design and code quality
ensure the solution is aligned with HSBC standards in terms of architecture, controls, security, scalability, performance
resolve technical issues with help of the technical development Team and perform code reviews
under the direction and management of the Data Platform Manager and Product Owner, the Technical Lead will collaborate with the technical dev team, Scrum Master, Architect, Business Analysts providing the Data Requirements.

What we offer

Competitive salary
annual performance-based bonus
additional bonuses for recognition awards
Multisport card
private medical care
life insurance
one-time reimbursement of home office set-up (up to 800 PLN)
corporate parties & events
CSR initiatives
nursery discounts

Fulltime

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Senior Engineer

Senior Engineer responsible for the implementation activities to certify telecom...

Location

United States , Overland Park; Bellevue

Salary:

100100.00 - 180600.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Engineering or Computer Science
7+ years of technical engineering experience
Experience with VoLTE, VILTE, OTT and LTE nodes interworking, capacity modelling
Experience with testing and integrating
Quality of Service planning and dimensioning of SDN/NFV nodes
Experience with testing methodologies and techniques
Focus: Able to communicate goals in support of the business' mission
Drive: Self-motivated and able to work well under pressure
Teamwork: Ability and desire to work cooperatively with others on a team
Communication: The ability to ensure that information is passed on to others who should be kept informed

Job Responsibility

MCP Orchestration and automation strategic lab planning
Develop test strategies and methodologies incorporating automation for quick time to market
Collaborate with application owners to ensure a successful implementation
Document all phases of the lifecycle

What we offer

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Paid parental and family leave
Family building benefits
Back-up care
Enhanced family support

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

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

Location

United States , Lisle

Salary:

85000.00 - 150000.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or another related technical field Required
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred
2+ years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows Required
6+ years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics Required
Expert knowledge on SQL and Python programming
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed
Experience in tuning queries for performance and scalability
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar
Excellent organizational, prioritization and analytical abilities
Have proven experience working in incremental execution through successful launches

Job Responsibility

Work closely with various business, IT, Analyst and Data Science groups to collect business requirements
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
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
Troubleshoot and resolve data engineering issues as they arise
Develop REST APIs to expose data to other teams within the company

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

Fulltime

Senior Data Engineer

Our client is a global jewelry manufacturer undergoing a major transformation, m...

Location

Turkey , Istanbul

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server
Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes
Practical experience with Azure Data Factory, Databricks, and PySpark
Track record of designing, building, and delivering production-ready data products at enterprise scale
Strong analytical skills and ability to translate business requirements into technical solutions
Excellent communication skills in English, with the ability to adapt technical details for different audiences
Experience working in Agile/Scrum teams

Job Responsibility

Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform
Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models
Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions
Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits
Promote a “build-once, consume-many” approach to maximize reuse and value creation across business verticals
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering

What we offer

Paid Vacation
Hybrid Work (home/office)
Sick Days
Sport/Insurance Compensation
Holidays Day Off
English Classes
Training Compensation
Transportation compensation

Senior Data Engineer

Our client is a global jewelry manufacturer undergoing a major transformation, m...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server
Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes
Practical experience with Azure Data Factory, Databricks, and PySpark
Track record of designing, building, and delivering production-ready data products at enterprise scale
Strong analytical skills and ability to translate business requirements into technical solutions
Excellent communication skills in English, with the ability to adapt technical details for different audiences
Experience working in Agile/Scrum teams

Job Responsibility

Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform
Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models
Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions
Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits
Promote a “build-once, consume-many” approach to maximize reuse and value creation across business verticals
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

New

Senior Data Engineer

The mission of the business intelligence team is to create a data-driven culture...

Location

India , Hyderabad

Salary:

Not provided

Randstad

Expiration Date

February 28, 2026

Requirements

Master’s degree in Computer Science / Information Technology or related field, highly preferred
Extensive knowledge of BI concepts and related technologies that help drive sustainable technical solutions
Extensive Experience with data lakes, ETL and data warehouses
Advanced experience of building data pipelines
Passion for building quality BI software
Project Management and/or process improvement experience highly preferred
Polyglot coder and expert level in multiple languages including, Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau
Advanced and proven experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered
Any exposure to Kafka, Spark, and Scala will be an added advantage
Should demonstrate a strong understanding of OOPS concepts and methodologies

Job Responsibility

Architect and build complex data pipelines using advanced cloud data technologies
Lead efforts to optimize data pipelines for performance, scalability, and cost-efficiency
Define industry best practices for building data pipelines
Ensure data security, compliance, and governance standards are met
Partner with leadership team to define and implement agile and DevOps methodologies
Serve as subject matter expert and define data architecture and infrastructure requirements
Partner with business analysts to plan project execution including appropriate product and technical specifications, direction, resources, and establishing realistic completion times
Understand data technology trends and identify opportunities to implement new technologies and provide forward-thinking recommendations
Proactively partner with internal stakeholders to bridge gaps, provide historical references, and design the appropriate processes
Design and implement a robust data observability process

Fulltime

Senior Engineer II - Full Stack Java

We are seeking a highly skilled Senior Software Engineer to join our dynamic tea...

Location

India , Noida

Salary:

Not provided

Daxko

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field
Minimum of 6 years of experience in commercial software development
Strong proficiency in Core Java and Advanced Java, with knowledge of the latest JDKs
Extensive experience with object-oriented programming and design principles
Expertise in web services, service-oriented architectures, and API development
Proficient in JavaScript, HTML5, and CSS3 for front-end development
Solid understanding of Spring and Hibernate frameworks
Experience with testing frameworks such as JUnit and Mockito
Familiarity with CICD tools, including Jenkins and GitLab
Proficiency in version control systems, particularly Git

Job Responsibility

Collaborate with product managers, architects, and other software engineers to design and implement best-in-class software solutions
Develop and maintain robust, scalable, and efficient Java-based applications using modern technologies and frameworks
Write optimized Java code, adhering to object-oriented programming principles and best practices
Design, build, and manage RESTful APIs to facilitate seamless communication between applications
Implement and maintain front-end components using JavaScript, HTML5, and CSS3
Conduct thorough code reviews and participate in technical discussions to ensure high-quality software delivery
Debug and troubleshoot complex technical issues to improve application functionality and performance
Implement comprehensive unit testing and participate in the full software development life cycle
Utilize development tools such as Git, Maven, and Jenkins to manage project dependencies and streamline deployment processes
Ensure application security by implementing best practices and adhering to compliance standards

What we offer

Hybrid work model
Leave entitlements
Hospitalization/caregiving leaves
Paid parental leaves (Maternity, Paternity, & Adoption)
Group Health Insurance
Accidental Insurance
Tax-saving reimbursements
Provident Fund (PF)
Casual work environments
Company Events and Celebrations

Fulltime

Senior Platform Owner - Platform Engineering

Sysco

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 26, 2025

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