Senior DataOps Engineer Job at SNI sp. z o.o.

Staff DataOps Engineer

We are looking for a Staff DataOps / Platform Engineer to join the Data and ML p...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Senior Data Platform, Senior Data Engineer or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
Authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Job Responsibility

Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Senior Data Engineer

In this vital role as Specialist / Senior Data Engineer at Amgen you will be res...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master's/Bachelor's degree and 8 to 13 years of Computer Science, IT or related field experience
Experience managing a team of data engineers
Experience architecting and building data and analytics solutions that extract, transform, and load data from multiple source systems
Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions
Proficiency in Python, PySpark, SQL
Experience with dimensional data modeling
Experience working with Apache Spark, Apache Airflow
Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
Experienced with AWS or GCP or Azure cloud services
Understanding of end to end project/product life cycle

Job Responsibility

Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning for solving complex problems of R&D division
Oversee the development of data extraction, validation, and transformation techniques, ensuring ingested data is of high quality and compatible with downstream systems
Guide the team in writing and validating high-quality code for data ingestion, processing, and transformation, ensuring resiliency and fault tolerance
Drive the development of data tools and frameworks for managing and accessing data efficiently across the organization
Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms
Coach engineers in building dashboards and aggregations to monitor pipeline health and detect inefficiencies, ensuring optimal performance and cost-effectiveness
Lead the implementation of self-healing solutions, reducing failure points and improving pipeline stability and efficiency across multiple product features
Oversee data governance strategies, ensuring compliance with security policies, regulations, and data accessibility best practices
Guide engineers in data modeling, metadata management, and access control, ensuring structured data handling across various business use cases
Collaborate with business leaders, product owners, and cross-functional teams to ensure alignment of data architecture with product requirements and business objectives

Fulltime

Senior Software Engineer

We are seeking highly skilled and motivated Senior Software Engineers to develop...

Location

United States

Salary:

Not provided

invent.ai

Expiration Date

Until further notice

Requirements

6+ years of work experience including scalable SaaS systems
Bachelor's degree or higher in a related field
Strong hands-on experience across our core tech stack: Python and Apache Spark (PySpark) for data processing, AWS Serverless ecosystem (Lambda) for backends, and React for frontend UI
Deep understanding of Object-Oriented Programming principles, design patterns, and system architecture
Experience integrating and managing AI coding tools in daily workflows to multiply productivity
Strong testing mindset with experience in writing robust unit, integration, and end-to-end tests to validate complex system behaviors
Familiarity with CI/CD best practices, DevOps, DataOps, and Platform Engineering concepts
Ability and motivation to self-teach, manage through ambiguity, and provide high-context instructions to AI models

Job Responsibility

Own the end-to-end development of cross-domain features, working seamlessly across Python/PySpark batch processes, AWS Lambda serverless backends, and React frontends
Practice contract-driven development by defining strict interfaces, API schemas, and data structures before implementation to ensure conflict-free teamwork
Utilize modern AI coding assistants (e.g., Cursor, Copilot) to accelerate implementation, allowing you to focus on complex business logic and architecture rather than boilerplate syntax
Develop best-in-class architecture by ensuring components are modularized, secure, and scalable
Shift focus to verifying AI-generated code through comprehensive automated testing (TDD) and edge-case validation
Adhere to modern software engineering practices through architectural reviews, focusing on intent and contract alignment rather than basic syntax checks
Exercise DevOps principles to deploy, maintain, and monitor production workflows, ensuring continuous delivery and actionable telemetry data
Act as a bridge between data scientist groups and product teams, productizing machine learning models using cutting edge cloud and big data technologies

What we offer

Monthly fixed contribution to internet bill and fun packets (Netflix, Amazon Prime etc.)
Comprehensive private health insurance
Career growth support with Udemy, Medium, HBR and other learning tools
Extra off days for different occasions (birthday, moving day, maternity & paternity leaves etc.)
Powerful referral bonus
All-day snacks at the office
Team activities
Social club meetings
Annual retreats
Monthly happy Friday drinks and other celebrations

Fulltime

Senior Sales Engineer

The Senior Sales Engineer role at Infinite Lambda is designed for a technical le...

Location

United States

Salary:

Not provided

Infinite Lambda

Expiration Date

Until further notice

Requirements

Education: A Bachelor’s degree in Engineering, Computer Science, or a related field is required
an advanced degree is preferred
Experience: A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience
Technical expertise: experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential
Data architecture: Stream processing and batch data warehouse processing, event-driven architecture, microservices, DataOps and MLOps practices
Market expansion: Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role. SOFT SKILLS: Communication: Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders
Leadership and strategy: Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion
Collaboration: Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships.

Job Responsibility

Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle
Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively
Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap
Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions
Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends
Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning

What we offer

Private health insurance
Work-from-home budget
Unlimited paid holiday
Wellness benefits.

Fulltime

Senior Data Engineer

We are looking for a Senior Data Engineer to design and build scalable, cloud-na...

Location

Romania , Cluj-Napoca; Oradea

Salary:

Not provided

Qubiz

Expiration Date

Until further notice

Requirements

5+ years experience in Data Engineering or similar roles
Strong expertise in Python, Apache Spark / PySpark, and SQL & Data Warehousing concepts
Proven experience with Data Lakes, large-scale data processing, and Medallion architecture
Hands-on experience with Microsoft ecosystem: Microsoft Fabric / Azure Data Services / Synapse / Data Factory
Experience with Power BI or similar BI tools
Strong understanding of ETL/ELT pipelines, data modeling, and performance optimization
Experience with real-time or near real-time data pipelines
Experience working with AI/ML-enabled data platforms
Familiarity with LLMs (e.g. GPT-based tools), embeddings, or vector databases

Job Responsibility

Design and implement end-to-end data pipelines (batch & streaming)
Build and maintain data lake / Lakehouse architectures using modern cloud tools
Implement Medallion Architecture (Bronze, Silver, Gold layers) for scalable data processing
Process and optimize high-volume datasets using Apache Spark (PySpark) or SQL
Develop robust data models for analytics and reporting
Ensure data quality, governance, lineage, and security
Integrate and leverage AI tools (LLMs, embeddings, ML pipelines) where relevant
Collaborate with analysts, data scientists, and stakeholders to deliver insights
Optimize pipelines for performance, scalability, and cost efficiency
Build automated data pipelines and workflows (DataOps mindset, CI/CD)

What we offer

Real responsibilities and challenging projects
Friendly environment suited for professional and personal development
Clear paths and real help in your professional development
Training and certifications
Fun team-building sessions
Private health insurance
50% discount for gym or sports pass of your choice
Fresh fruit on your table every day

Fulltime

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Poland , Warsaw

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs.
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Romania , Bucharest

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

Senior Data Engineer

Are you passionate about shaping the future of AI and empowering millions of use...

Location

Canada , Vancouver

Salary:

114400.00 - 203900.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Compliance: Anticipates the need for data governance and designs data modeling and data handling procedures, with direct support and partnership with Corporate, External, and Legal Affairs (CELA), to ensure compliance with applicable laws and policies across all aspects of the development process
Tags data based on categorization (e.g., personally identifiable information [PII], pseudo-anonymized, financial)
Documents data type, build data dictionary, classifications, and lineage to ensure traceability
Governs accessibility of data within assigned data pipelines
Provides guidance on contributions to the data glossary to document the origin, usage, and format of data for each program
Independently implements data governance and privilege of least access practices leveraging security tools
Builds responsible AI-compliant data products and/or applications
Data Management and Transformation: Plans and creates efficient techniques and operations (e.g., inserting, aggregating, joining) to transform raw data into a form (e.g., dimensional data model) that is compatible with downstream data consumers, databases, and formats that support applications, analytics and reporting
Independently uses software, query languages, and computing tools (e.g., cloud-based) to transform raw data across end-to-end pipelines
Evaluates data to ensure data quality and completeness using queries, data wrangling, and statistical techniques

Fulltime

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Senior DataOps Engineer

Job Description

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