Senior Data Engineer

Join a leading global live-entertainment discovery tech platform. As a Senior Da...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

You have a strong background in at least two of: data engineering, business intelligence, software engineering
You are an expert in Python3 and its data ecosystem
You have proven experience working with SQL languages
You have worked with complex data pipelines
You are a collaborative team player with strong communication skills
You are proactive, driven, and bring positive energy
You possess strong analytical and problem-solving abilities backed by solid software engineering skills
You are proficient in business English.

Job Responsibility

Own critical data pipelines of our data warehouse
Ideate and implement tools and processes to exploit data
Work closely with other business units to create structured and scalable solutions
Contribute to the development of a complex data and software ecosystem
Build trusted data assets
Build automatizations to create business opportunities
Design, build and support modern data infrastructure.

What we offer

Attractive compensation package with potential bonus
Stock options
40% discount on all Fever events and experiences
Home office friendly
Responsibility from day one
Great work environment with a young international team
Health insurance
Flexible remuneration with 100% tax exemption through Cobee
English lessons
Gympass membership

Fulltime

Senior Data Engineering Manager

Data is a big deal at Atlassian. We ingest billions of events each month into ou...

Location

United States , San Francisco

Salary:

168700.00 - 271100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

stellar people management skills and experience in leading an agile software team
thrive when developing phenomenal people, not just great products
worked closely Data Science, analytics and platform teams
expertise in building and maintaining high-quality components and services
able to drive technical excellence, pushing for innovation and quality
at least 10 years experience in a software development role as an individual contributor
4+ years of people management experience
deep understanding of data challenges at scale challenges and the eco-system
experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
experience with Enterprise Data architectural standard methodologies

Job Responsibility

build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
champion cultural and process improvements through engineering excellence, quality and efficiency
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

Senior Data Engineer

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

Location

United States , San Francisco

Salary:

135600.00 - 217800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

BS in Computer Science or equivalent experience with 5+ years as Data Engineer or similar role
Programming skills in Python & Java (good to have)
Design data models for storage and retrieval to meet product and requirements
Build scalable data pipelines using Spark, Airflow, AWS data services (Redshift, Athena, EMR), Apache projects (Spark, Flink, Hive, and Kafka)
Familiar with modern software development practices (Agile, TDD, CICD) applied to data engineering
Enhance data quality through internal tools/frameworks detecting DQ issues
Working knowledge of relational databases and SQL query authoring

Job Responsibility

Collaborating with partners, you will design data models, acquisition processes, and applications to address needs
Lead business growth and enhance product experiences
Collaborate with Technology Teams, Global Analytical Teams, and Data Scientists across programs
Extracting/cleaning data, understanding generating systems
Improve data quality by adding sources, coding rules, and producing metrics as requirements evolve

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Engineer

We are looking for a Senior Data Engineer (SDE 3) to build scalable, high-perfor...

Location

India , Mumbai

Salary:

Not provided

Cogoport

Expiration Date

Until further notice

Requirements

6+ years of experience in data engineering, working with large-scale distributed systems
Strong proficiency in Python, Java, or Scala for data processing
Expertise in SQL and NoSQL databases (PostgreSQL, Cassandra, Snowflake, Apache Hive, Redshift)
Experience with big data processing frameworks (Apache Spark, Flink, Hadoop)
Hands-on experience with real-time data streaming (Kafka, Kinesis, Pulsar) for logistics use cases
Deep knowledge of AWS/GCP/Azure cloud data services like S3, Glue, EMR, Databricks, or equivalent
Familiarity with Airflow, Prefect, or Dagster for workflow orchestration
Strong understanding of logistics and supply chain data structures, including freight pricing models, carrier APIs, and shipment tracking systems

Job Responsibility

Design and develop real-time and batch ETL/ELT pipelines for structured and unstructured logistics data (freight rates, shipping schedules, tracking events, etc.)
Optimize data ingestion, transformation, and storage for high availability and cost efficiency
Ensure seamless integration of data from global trade platforms, carrier APIs, and operational databases
Architect scalable, cloud-native data platforms using AWS (S3, Glue, EMR, Redshift), GCP (BigQuery, Dataflow), or Azure
Build and manage data lakes, warehouses, and real-time processing frameworks to support analytics, machine learning, and reporting needs
Optimize distributed databases (Snowflake, Redshift, BigQuery, Apache Hive) for logistics analytics
Develop streaming data solutions using Apache Kafka, Pulsar, or Kinesis to power real-time shipment tracking, anomaly detection, and dynamic pricing
Enable AI-driven freight rate predictions, demand forecasting, and shipment delay analytics
Improve customer experience by providing real-time visibility into supply chain disruptions and delivery timeline
Ensure high availability, fault tolerance, and data security compliance (GDPR, CCPA) across the platform

What we offer

Work with some of the brightest minds in the industry
Entrepreneurial culture fostering innovation, impact, and career growth
Opportunity to work on real-world logistics challenges
Collaborate with cross-functional teams across data science, engineering, and product
Be part of a fast-growing company scaling next-gen logistics platforms using advanced data engineering and AI

Fulltime

Senior Data Engineer

At Ingka Investments (Part of Ingka Group – the largest owner and operator of IK...

Location

Netherlands , Leiden

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent
Minimum 3 years of professional experience as a (Junior) Data Engineer
Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing
Hands-on experience with Azure data services like Azure Databricks, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, DBT and Power BI
Hands-on experience with data modeling for BI & ML for performance and efficiency
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
Experience in driving new data engineering developments (e.g. apply new cutting edge data engineering methods to improve performance of data integration, use new tools to improve data quality and etc.)
Knowledge of DevOps practices and tools including CI/CD pipelines and version control systems (e.g., Git)
Proficiency in programming languages such as Python, SQL, PySpark and others relevant to data engineering
Hands-on experience to deploy code artifacts into production

Job Responsibility

Contribute to the development of D&A platform and analytical tools, ensuring easy and standardized access and sharing of data
Subject matter expert for Azure Databrick, Azure Data factory and ADLS
Help design, build and maintain data pipelines (accelerators)
Document and make the relevant know-how & standard available
Ensure pipelines and consistency with relevant digital frameworks, principles, guidelines and standards
Support in understand needs of Data Product Teams and other stakeholders
Explore ways create better visibility on data quality and Data assets on the D&A platform
Identify opportunities for data assets and D&A platform toolchain
Work closely together with partners, peers and other relevant roles like data engineers, analysts or architects across IKEA as well as in your team

What we offer

Opportunity to develop on a cutting-edge Data & Analytics platform
Opportunities to have a global impact on your work
A team of great colleagues to learn together with
An environment focused on driving business and personal growth together, with focus on continuous learning

Fulltime

Senior Data Engineering Manager

Data is a big deal at Atlassian. We ingest billions events each month into our a...

Location

United States , San Francisco

Salary:

168700.00 - 271100.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

stellar people management skills and experience in leading an agile software team
thrive when developing phenomenal people, not just great products
worked closely Data Science, analytics and platform teams
expertise in building and maintaining high-quality components and services
able to drive technical excellence, pushing for innovation and quality
at least 10 years experience in a software development role as an individual contributor
4+ years of people management experience
deep understanding of data challenges at scale challenges and the eco-system
experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
experience with Enterprise Data architectural standard methodologies

Job Responsibility

build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
champion cultural and process improvements through engineering excellence, quality and efficiency
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

Senior Principal Data Engineer

Atlassian is looking for a Senior Principal Data Engineer to join the Go-To Mark...

Location

United States , San Francisco

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

18+ years of experience in a Data Engineer role as an individual contributor
at least 7 years of experience as a tech lead for Data Engineering teams, and delivered complex, cross-team initiatives
built durable relationships with executives/senior leaders across Sales, Marketing, Finance, Commerce and related organizations, and understand complexities of data in these organizations
a track record of driving and delivering large complex, multi-team efforts
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, dbt, 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

Job Responsibility

Help stakeholder teams ingest data faster into our data lake
find ways to make data pipelines more efficient
come up with ideas to help instigate self-serve data engineering within the company
building micro-services, architecting, designing, and enabling self-serve capabilities at scale to help Atlassian grow

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Engineer

We are looking for a Senior Data Engineer with a collaborative, “can-do” attitud...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Engineering, Computer Science or related discipline, Master’s Degree preferred
5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
5+ years of experience with setting up and operating data pipelines using Python or SQL
5+ years of advanced SQL Programming: PL/SQL, T-SQL
5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
5+ years of experience in defining and enabling data quality standards for auditing, and monitoring
Strong analytical abilities and a strong intellectual curiosity

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals
Demonstrate deep technical and domain knowledge of relational and non-relation databases, Data Warehouses, Data lakes among other structured and unstructured storage options
Determine solutions that are best suited to develop a pipeline for a particular data source
Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development
Efficient in ETL/ELT development using Azure cloud services and Snowflake, Testing and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines for scalable analytics delivery
Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders
Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability)
Stay current with and adopt new tools and applications to ensure high quality and efficient solutions
Build cross-platform data strategy to aggregate multiple sources and process development datasets

Fulltime

Senior Data Engineer - Analytics

Doctolib

Location:
France , Paris

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 23, 2026

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