Data Engineer (Modern Data Stack / DataOps) Job at ddroidd

Data Analytics Engineer

SDG Group is expanding its global Data & Analytics practice and is seeking a mot...

Location

Egypt , Cairo

Salary:

Not provided

SDG

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, or related field
Hands-on experience in DataOps / Data Engineering
Strong knowledge in Databricks OR Snowflake (one of them is mandatory)
Proficiency in Python and SQL
Experience with Azure data ecosystem (ADF, ADLS, Synapse, etc.)
Understanding of CI/CD practices and DevOps for data.
Knowledge of data modeling, orchestration frameworks, and monitoring tools
Strong analytical and troubleshooting skills
Eagerness to learn and grow in a global consulting environment

Job Responsibility

Design, build, and maintain scalable and reliable data pipelines following DataOps best practices
Work with modern cloud data stacks using Databricks (Spark, Delta Lake) or Snowflake (Snow pipe, tasks, streams)
Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools
Work with Azure data services (ADF, ADLS, Azure SQL, Azure Functions)
Implement CI/CD practices using Azure DevOps or Git-based workflows
Ensure data quality, consistency, and governance across all delivered data solutions
Monitor and troubleshoot pipelines for performance and operational excellence
Collaborate with international teams, architects, and analytics consultants
Contribute to technical documentation and solution design assets

What we offer

Remote working model aligned with international project needs
Opportunity to work on European and global engagements
Mentorship and growth paths within SDG Group
A dynamic, innovative, and collaborative environment
Access to world-class training and learning platforms

Fulltime

Consultant - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

4 - 10 years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Higher relevant education is preferred
Knowledge of solution design, planning, development and deployment of complex solutions
One or more of the following certifications, or an equivalent industry certification is a plus: Microsoft Certified: Azure Data Engineer Associate (DP-600) / Microsoft Certified: Azure AI Engineer Associate (AI102) / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Core Data Engineering & Platform Skills
Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
Strong foundational experience with Azure Data Services and data platform modernization initiatives
Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics
Azure Databricks is a plus

Job Responsibility

Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release
Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners
Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies
Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements
Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies
Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services
Align with innovation and digital transformation initiatives
Ensures the use of existing intellectual property (IP) and delivers value to customers

Fulltime

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

Staff DevOps - Data Platform

We are looking for a Staff DevOps - Data Platform to join the Data and ML Platfo...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Staff Data Platform Engineer, Staff Data Ops, Staff Site Reliability 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

Staff Data Ops Engineer - Platform

We are looking for a Staff Data Ops Engineer - Platform to join the Data & AI Pl...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Staff Data Platform Engineer, or Staff Data Ops or Staff Site Reliability 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

Software Engineer - Data Engineering

At Catawiki, data sits at the core of our decision-making, powering everything f...

Location

Netherlands , Amsterdam

Salary:

Not provided

Catawiki

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience building and operating data systems in production
Fluent in Python and SQL
Experience with data integration tools such as Fivetran and/or Airbyte
Experience with CI/CD, Infrastructure as Code (e.g. Terraform), and modern DataOps practices
Experience with cloud platforms (GCP is a plus)
Familiar with parts of the data stack such as BigQuery, PubSub, DataFlow, GKE, Airflow, Airbyte, FastAPI and Prometheus
Experience with streaming pipelines using technologies like Kafka, Pub/Sub, Dataflow, or Apache Beam
Keen to learn new tools, support data platform and machine learning engineering initiatives
Understand the importance of data privacy and GDPR

Job Responsibility

Build and Scale Data Pipelines: Maintain and develop reliable batch and streaming pipelines that ingest data from internal systems and third-party sources into Catawiki’s data warehouse
Empower Data Science and AI: Maintain and enhance the tools and platforms used by Data Scientists for analysis, experimentation, model training, and model deployment
Protect Data and Privacy: Ensure data is stored securely and that governance, access control, and privacy standards are consistently applied across the data platform
Run and Evolve the Data Platform: Maintain the infrastructure that hosts our data tools and applications, keeping it scalable, stable, and cost-effective
Own Core Data Tooling: Self-host and operate key data engineering tools such as Airflow and Airbyte on Kubernetes
Keep the Lights On: Provide operational support to ensure pipelines, platforms, and tools run smoothly and reliably for teams across the business

What we offer

€100 Catavoucher when you join
€50 Catavoucher on your birthday
An extra day off each year to “Pursue Your Passion”
Additional leave for key work anniversaries and important life events

Fulltime

Consultant A2 - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

4 - 10 years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Knowledge of solution design, planning, development and deployment of complex solutions
Core Data Engineering & Platform Skills
Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
Strong foundational experience with Azure Data Services and data platform modernization initiatives
Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics
Experience/knowledge of one or more SQL and NoSQL database systems
Hands-on experience building AI-powered data pipelines using ETL/ELT tools like: Azure Data Factory (ADF), SSIS, Talend, Informatica, Airflow
Exposure to data migrations, platform upgrades, and modernization efforts

Job Responsibility

Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release
Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners
Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies
Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements
Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations
Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies
Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services
Align with innovation and digital transformation initiatives
Ensures the use of existing intellectual property (IP) and delivers value to customers

Fulltime

Senior Data Engineer

At Catawiki, data sits at the core of our decision-making, powering everything f...

Location

Netherlands , Amsterdam

Salary:

Not provided

Catawiki

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience building and operating data systems in production
Fluent in Python and SQL
Experience with data integration tools such as Fivetran and/or Airbyte
Experience with CI/CD, Infrastructure as Code (e.g. Terraform), and modern DataOps practices
Experience with cloud platforms (GCP is a plus)
Familiar with parts of our data stack such as BigQuery, PubSub, DataFlow, GKE, Airflow, Airbyte, FastAPI and Prometheus
Experience with streaming pipelines using technologies like Kafka, Pub/Sub, Dataflow, or Apache Beam
Keen to learn new tools, support data platform and machine learning engineering initiatives
Understand the importance of data privacy and GDPR

Job Responsibility

Build and Scale Data Pipelines: Maintain and develop reliable batch and streaming pipelines that ingest data from internal systems and third-party sources into Catawiki’s data warehouse
Empower Data Science and AI: Maintain and enhance the tools and platforms used by Data Scientists for analysis, experimentation, model training, and model deployment
Protect Data and Privacy: Ensure data is stored securely and that governance, access control, and privacy standards are consistently applied across the data platform
Run and Evolve the Data Platform: Maintain the infrastructure that hosts our data tools and applications, keeping it scalable, stable, and cost-effective
Own Core Data Tooling: Self-host and operate key data engineering tools such as Airflow and Airbyte on Kubernetes
Keep the Lights On: Provide operational support to ensure pipelines, platforms, and tools run smoothly and reliably for teams across the business

What we offer

€100 Catavoucher upon joining
€50 Catavoucher on each birthday
An extra day off each year to 'Pursue Your Passion'
Additional time off for significant work anniversaries (3, 5, 8, 10 years)
Extra leave for life’s big moments like marriage, engagements, or moving house

Data Engineer (Modern Data Stack / DataOps)

ddroidd

Location:
Romania

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 21, 2026

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