Data Engineer (Contractor) Job at myPOS (Bucharest)

Data Engineer (Contractor)

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

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)
3+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies for ETL/ELT processes
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
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

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

Data Scientist (Big Data) III – Contractor

The Senior Data Scientist (Big Data) will support large-scale data science initi...

Location

United States , Philadelphia

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong hands-on experience with PySpark, Python, and R for data analysis and machine learning
Experience working in AWS cloud environments
Proficiency with Databricks for large-scale data processing and analytics
Experience building and supporting large-scale data pipelines and ETL workflows
Demonstrated experience applying statistical and modeling techniques, including: Hypothesis testing, Supervised and unsupervised learning, Forecasting and regression, Dimensionality reduction and clustering
Experience working with relational databases, SQL, and large datasets
Ability to gather, interpret, and translate business requirements into technical solutions
Strong communication skills with the ability to present complex concepts to diverse audiences
Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field, or equivalent practical experience
Typically 5+ years of relevant professional experience in data science, analytics, or related roles

Job Responsibility

Lead complex, cross-functional data science initiatives delivering solutions across multiple technologies and platforms
Design, develop, and deploy data mining, statistical, machine learning, and graph-based algorithms for large-scale data sets
Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions
Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability
Build and maintain scalable big-data analytics solutions supporting accurate targeting, forecasting, and advanced insights
Develop and support end-to-end machine learning pipelines, including data preparation, training, testing, validation, and deployment
Establish performance metrics, monitoring, and evaluation procedures for models in production
Translate complex analytical findings into clear, actionable insights for technical and non-technical stakeholders
Provide mentorship and technical guidance to junior team members
Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

New

Senior Data Engineer

Senior Data Engineer - The Senior Data Engineer is responsible for executing the...

Location

Canada , Toronto

Salary:

110000.00 - 130000.00 USD / Year

Four Seasons

Expiration Date

Until further notice

Requirements

Minimum 5-8 years experience Data Engineering
with experience in Azure using Databricks
Bachelor’s degree Required
Expert in Data Engineering in Microsoft Azure Environment + Toolsets (ADF, Synapse, Data Bricks, Cosmos DB, FunctionApps, Logic Apps etc)
Lakehouse experience using Databricks
Azure platform administration
Data Governance Software experience
Microsoft Power BI delivery and support
Strong SQL query skills
Strong history in Python, Pyspark, or Scala

Job Responsibility

Leading the delivery of finance domain data migration projects with clear milestones, quality controls, and operational readiness
Designing and maintaining reusable data ingestion and transformation frameworks aligned with enterprise engineering standards
Ensuring data consistency, lineage, and trustworthiness across finance and enterprise data domains
Collaborating with business and technical stakeholders to enable analytics, forecasting, and AI readiness for finance data
Driving operational excellence across engineering practices, optimizing for cost, performance, and maintainability
Design, develop, and maintain robust batch and streaming data pipelines across Azure Data Factory, Databricks, Informatica, and SQL environments
Closely work with vendors, contractors and other FS teams to operationalize the data migration process for the hotels
Implement and oversee CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks
Operationalize data quality by integrating Informatica IDQ into finance workflows
Apply governance standards by embedding metadata, cataloging, and lineage practices

Fulltime

Data Engineer (Life Sciences & Healthcare)

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, including at least 2–3 years in a senior-level role
Proficiency in Python and SQL
Hands-on experience with cloud platforms: Google Cloud and AWS preferred
Azure acceptable
Strong understanding of data warehousing concepts
experience with BigQuery or similar technologies
Ability to communicate complex technical concepts clearly to peers and stakeholders
Bachelor’s degree in Computer Science or related field

Job Responsibility

Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting
Work across the application stack, focusing primarily on backend data engineering
Ensure code quality through reviews, testing, and adherence to best practices
Collaborate with global engineering pods to maintain consistent coding standards
Mentor and guide engineers and contractors, fostering technical growth
Partner with product managers and peers to translate business requirements into scalable solutions

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Connectivity Engineer - Data Center Design, Engineering, & Construction

Meta is seeking a Connectivity Engineer to join the Design Engineering and Const...

Location

United States , Rayville, LA +4 locations

Salary:

123000.00 - 176000.00 USD / Year

Electrical Engineer (Data Centres)

We are currently seeking a motivated Electrical Engineer to join our friendly an...

Location

Australia , St. Leonards

Salary:

Not provided

Stantec

Expiration Date

Until further notice

Requirements

Hold a bachelor degree of Electrical Engineering
Ideally have around 3-5 years experience working in a consulting environment within the Building Services industry
Willingness to establish and maintain strong client relationships to formulate repeat opportunities
Excellent written and verbal communication skills
Positive, can-do attitude, team player and strong work ethic

Job Responsibility

Provide Electrical designs for a range of building projects, including reports, studies, design calculations, mark-ups, drawings and specifications
Responsible for planning and managing projects through various project platforms
Design of lighting, LV power systems, cable containment and earthing designs using industry standard software such as PowerCAD, AGI/Dialux
Working in Revit, Revizto and other design coordination programs
Represent Stantec externally to Clients, playing an active role in managing these relationships
Liaise with authorities and contractors

What we offer

Genuine Flexible Working Arrangements - Including work from home opportunities, provision for school term contracts, job sharing and part time employment
Option to purchase up to 4 weeks additional leave
Learning and Talent Development Programs - Including Global programmes, online learning and on-the-job learning
Professional Memberships, Salary Continuance Insurance (SCI), Service Recognition Awards
Mental Health, Employee Assistance Program and Wellbeing Programs

Fulltime

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