Data Engineer Tech Lead Job at We Are Meta (Porto)

Senior Backend Engineer / Tech Lead (Data Management)

As a Senior Backend Software Engineer at Aignostics, you work hand in hand with ...

Location

Germany , Berlin

Salary:

Not provided

Aignostics

Expiration Date

Until further notice

Requirements

Bachelor and/or Master in a relevant field or extensive work experience
6+ years of software development experience in a data intensive environment
Experience leading a technical initiative ideally with cross-team impact
Strong background in software development ideally with Python
Experience with cloud providers (GCP, AWS) and their services
Experience with container orchestration (preferable Kubernetes)
Experience with database systems
Familiar with CI/CD pipelines, code reviews and other standards to keep up code quality
Driven self-starter, well-organized, excellent communication skills and a strong team player

Job Responsibility

Design and develop services and core libraries that enable our SaaS platform
Ensure reliable, high throughput access to our data for machine learning
Maintain and expand our data management infrastructure
Lead initiatives, evaluate new technologies and their integration into our current codebase
Eagerness to take ownership - from inception to completion - without losing focus on the business context
Communicate closely with our frontend and machine learning teams
Perform code reviews, considering readability, design and performance

What we offer

Learning & Development yearly budget of 1,000€ (plus 2 L&D days)
Language classes and internal development programs
Mentoring program
Flexible working hours and teleworking policy
30 paid vacations days per year
Family & pet friendly and support flexible parental leave options
Subsidized membership of your choice among public transport, sports and well-being
Social gatherings, lunches, and off-site events
Optional company pension scheme

Team Lead Data Engineer

Data Management Platform is the core system that receives, processes and provide...

Location

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

Desire and readiness to perform a team lead role and a tech lead role
5+ years of experience in Java
Strong knowledge of algorithms and data structures
Readiness to deep dive into legacy codebase
Experience with SQL DBs
Solid experience with Kafka, streaming systems, microservices
Experience in dealing with performance and high scale systems
Understanding of Hadoop/Spark/big data tools
Analytical thinking, ability to deeply investigate tasks and understand how system components works from business side
Reliability, confidence and readiness to deal with production issues

Job Responsibility

Perform the team lead / people management role for 3 our engineers: 1:1s, ensuring high motivation and retention, working with feedback, mentoring and tech support
Perform the tech lead role for a mixed team of +-5 customer and Coherent engineers: coordination, task distribution, technical assistance
End-to-end development and ownership, from design to production
Implement high scale Big-Data solutions and contribute to our platform infrastructure and architecture
Research core technologies and integrations with external APIs and services
Work with various stakeholders: Product, Engineering, Data providers, and etc.
Participate in off-hours Pager Duty

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
Internal startup incubator
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

Senior Data & AI/ML Engineer - GCP Specialization Lead

We are on a bold mission to create the best software services offering in the wo...

Location

United States , Menlo Park

Salary:

Not provided

techjays

Expiration Date

Until further notice

Requirements

GCP Services: BigQuery, Dataflow, Pub/Sub, Vertex AI
ML Engineering: End-to-end ML pipelines using Vertex AI / Kubeflow
Programming: Python & SQL
MLOps: CI/CD for ML, Model deployment & monitoring
Infrastructure-as-Code: Terraform
Data Engineering: ETL/ELT, real-time & batch pipelines
AI/ML Tools: TensorFlow, scikit-learn, XGBoost
Min Experience: 10+ Years

Job Responsibility

Design and implement data architectures for real-time and batch pipelines, leveraging GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Vertex AI, and Cloud Storage
Lead the development of ML pipelines, from feature engineering to model training and deployment using Vertex AI, AI Platform, and Kubeflow Pipelines
Collaborate with data scientists to operationalize ML models and support MLOps practices using Cloud Functions, CI/CD, and Model Registry
Define and implement data governance, lineage, monitoring, and quality frameworks
Build and document GCP-native solutions and architectures that can be used for case studies and specialization submissions
Lead client-facing PoCs or MVPs to showcase AI/ML capabilities using GCP
Contribute to building repeatable solution accelerators in Data & AI/ML
Work with the leadership team to align with Google Cloud Partner Program metrics
Mentor engineers and data scientists toward achieving GCP certifications, especially in Data Engineering and Machine Learning
Organize and lead internal GCP AI/ML enablement sessions

What we offer

Best in class packages
Paid holidays and flexible paid time away
Casual dress code & flexible working environment
Medical Insurance covering self & family up to 4 lakhs per person

Staff Tech Lead, Electrical Engineering

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP e...

Location

United States , Boston

Salary:

165000.00 - 210000.00 USD / Year

Whoop

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Electrical Engineering or related field
10+ years of experience in electrical engineering with a focus on high-volume product development and manufacturing
Deep understanding of EE fundamentals including analog, digital, and power systems
Proven track record of driving electrical design improvements from concept through validation in production environments
Strong experience with failure analysis methodologies and tools
Experience working with and qualifying second sources for critical electrical components
Excellent leadership, communication, and cross-functional collaboration skills
Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions

Job Responsibility

Lead a team of 2-3 electrical engineers focused on sustaining PCB’s, Batteries, and Antennas throughout the product lifetime with iterative improvements and rigorous validation
Identify, scope, and drive design changes that increase electrical performance, improve reliability, reduce cost, or support component second-sourcing
Collaborate with manufacturing, quality, and failure analysis teams to identify root causes of field and production issues, and implement robust electrical solutions with detailed validation plans
Support yield improvement initiatives across global production lines through data analysis, Manufacturing test alignment, and electrical design improvements
Own technical leadership for electrical continuous improvement initiatives and mentor team members in high-impact design and validation work
Partner with Mechanical, Firmware, Manufacturing and Quality teams to ensure design changes align with product requirements and meet regulatory and compliance standards

What we offer

equity
benefits

Fulltime

Principal Data Engineer

Atlassian is looking for a Principal Data Engineer to join our Data Engineering ...

Location

United States , San Francisco; Seattle; Austin

Salary:

168700.00 - 271100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

12+ years of experience in a Data Engineer role as an individual contributor
At least 2 years of experience as a tech lead for a Data Engineering team
Engineer with a track record of driving and delivering large (multi-person or multi-team) and complex efforts
Great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success
Experience with building streaming pipelines with a micro-services architecture for low-latency analytics
Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)
Experience building scalable data pipelines using Spark using Airflow scheduler/executor framework or similar scheduling tools
Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or Kafka)
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team
Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a "Streaming First" mindset to drive Atlassian's business growth and improve the product experience

Job Responsibility

Own the technical evolution of the data engineering capabilities and be responsible for ensuring solutions are being delivered incrementally, meeting outcomes, and promptly escalating risks and issues
Establish a deep understanding of how things work in data engineering, use this to direct and coordinate the technical aspects of work across data engineering, and systematically improve productivity across the teams
Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations
Drive complex decisions that can impact the work in data engineering
Set the technical direction and balance customer and business needs with long-term maintainability & scale
Understand and define the problem space, and architect solutions
Coordinate a team of engineers towards implementing them, unblocking them along the way if necessary
Lead a team of data engineers through mentoring and coaching, work closely with the engineering manager, and provide consistent feedback to help them manage and grow the team
Work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Principal Data Engineer

Atlassian is looking for a Principal Data Engineer to join our Data Engineering ...

Location

United States , San Francisco

Salary:

168700.00 - 271100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

You have 12+ years of experience in a Data Engineer role as an individual contributor
You have at least 2 years of experience as a tech lead for a Data Engineering team
You are an engineer with a track record of driving and delivering large (multi-person or multi-team) and complex efforts
You are a great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success
Experience with building streaming pipelines with a micro-services architecture for low-latency analytics
Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)
Experience building scalable data pipelines using Spark using Airflow scheduler/executor framework or similar scheduling tools
Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or Kafka)
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team
Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a 'Streaming First' mindset to drive Atlassian's business growth and improve the product experience

Job Responsibility

Own the technical evolution of the data engineering capabilities and be responsible for ensuring solutions are being delivered incrementally, meeting outcomes, and promptly escalating risks and issues
Establish a deep understanding of how things work in data engineering, use this to direct and coordinate the technical aspects of work across data engineering, and systematically improve productivity across the teams
Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations
Drive complex decisions that can impact the work in data engineering. Set the technical direction and balance customer and business needs with long-term maintainability & scale
Understand and define the problem space, and architect solutions. Coordinate a team of engineers towards implementing them, unblocking them along the way if necessary
Lead a team of data engineers through mentoring and coaching, work closely with the engineering manager, and provide consistent feedback to help them manage and grow the team
Work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Staff Data Engineer

As a Staff Data Engineer, you will be leading the architecture, design and devel...

Location

United States; Canada , Remote

Salary:

Not provided

1Password

Expiration Date

Until further notice

Requirements

Minimum of 8+ years of professional software engineering experience
Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages
In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies
Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing
Experience with Big Data query engines such as Hive, Presto, Trino, Spark
Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.

Job Responsibility

Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience
Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages
Build scalable data pipelines using best-in-class software engineering practices
Develop optimal data models for storage and retrieval, meeting critical product and business requirements
Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security
Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services
Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions
Influence and evangelize high standard of code quality, system reliability, and performance.

What we offer

Maternity and parental leave top-up programs
Generous PTO policy
Four company-wide wellness days
Company equity for all full-time employees
Retirement matching program
Free 1Password account
Paid volunteer days
Employee-led inclusion and belonging programs and ERGs
Peer-to-peer recognition through Bonusly

Fulltime

Data Engineering Manager

We are looking for a talented Data Engineering Manager with over 8 years of expe...

Location

India , Bengaluru

Salary:

Not provided

6sense

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 8 years of experience in data engineering or a related field, with at least 3 years in a managerial role
Strong expertise in big data technologies including Apache Spark, Hadoop, Hive, and related tools
Proficiency in programming languages such as Python and Java
experience with Scala is a plus
Proven track record of designing and implementing scalable data systems and pipelines
Excellent leadership, communication, and interpersonal skills
Strong problem-solving and analytical abilities and a proactive approach to addressing challenges
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift) is a plus.

Job Responsibility

Lead, mentor and manage a team of data engineers, and tech leads
Build, hire and grow the team
Collaborate with product managers, data analysts and other stakeholders to understand data requirements, plan and deliver high quality data solutions
Manage project timelines, resources, and deliverables to meet business objectives by managing all cross-functional and cross-team collaboration and dependencies
Design, implement, and optimize scalable data pipelines and data processing systems using big data technologies like Apache Spark and Hadoop
Ensure data quality, consistency, and security across all data systems
Relentlessly pursue goals on data coverage, data freshness, data quality and key performance & SLA metrics
Have high technical competence and background with track record of individual technical accomplishments
Play the role of the architect for the team
Drive continuous improvement by identifying and implementing best practices, tools and processes for development and execution, and champion their adoption

What we offer

Health coverage
Paid parental leave
Generous paid time-off and holidays
Quarterly self-care days off
Stock options
Equipment and support for remote or onsite work
Learning and development initiatives including LinkedIn Learning
Quarterly wellness education sessions
ERG-hosted events.

Fulltime

Data Engineer Tech Lead

We Are Meta

Location:
Portugal , Porto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 15, 2026

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