Senior Data Engineer Jobs

New

Senior Data Engineer

We’re looking for a Senior Data Engineer to join our team who shares our passion...

Location

Finland , Helsinki

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

Have a proven track record of delivering complex, large-scale data projects from design to production
Excel at breaking down complex business requirements into clear, actionable technical plans
Have built tools or systems that are essential to how your team or stakeholders work
Write clean, effective Python and SQL and are familiar with tools like dbt and Airflow
Focus on building things that last, with simple and resilient design
Enjoy collaborating and sharing your thinking with your peers

Job Responsibility

Own and deliver key data projects, collaborating closely with stakeholders from Product, Sales, Marketing, and Finance
Take ownership of the technical design, implementation, and maintenance of data pipelines and modeling solutions
Build systems that are reliable, reusable, and designed for long-term clarity
Contribute to architectural decisions and advocate for best practices in Python, dbt, BigQuery, and modern data tooling
Mentor peers through clean code, thoughtful reviews, and system design

What we offer

Participate in Aiven’s equity plan
Hybrid work policy
Get the equipment you need to set yourself up for success
Real employer support (use one of our learning platforms, annual learning budget, and more)
Get holistic wellbeing support through our global Employee Assistance Program
Contribute to open source projects and get paid for it
Use up to 5 days per year to volunteer for a good cause of your choice
Join one of our team member resource groups
Extensive Occupational Health Care, Dental Care, as well as sports, culture, massage and lunch benefits
Regular office breakfast

New

Senior Data Engineer

We’re looking for a Senior Data Engineer to join our team who shares our passion...

Location

Ireland , Cork

Salary:

Not provided

Aiven Deutschland GmbH

Expiration Date

Until further notice

Requirements

Proven track record of delivering complex, large-scale data projects from design to production
Excel at breaking down complex business requirements into clear, actionable technical plans
Have built tools or systems that are essential to how your team or stakeholders work
Write clean, effective Python and SQL
Familiar with tools like dbt and Airflow
Focus on building things that last, with simple and resilient design
Enjoy collaborating and sharing your thinking with your peers

Job Responsibility

Own and deliver key data projects, collaborating closely with stakeholders from Product, Sales, Marketing, and Finance
Take ownership of the technical design, implementation, and maintenance of data pipelines and modeling solutions
Build systems that are reliable, reusable, and designed for long-term clarity
Contribute to architectural decisions and advocate for best practices in Python, dbt, BigQuery, and modern data tooling
Mentor peers through clean code, thoughtful reviews, and system design

What we offer

Participate in Aiven’s equity plan
Hybrid work policy
Get the equipment you need to set yourself up for success
Real employer support (use one of our learning platforms, annual learning budget, and more)
Get holistic wellbeing support through our global Employee Assistance Program
Plankton program recognizes extra work to the open source ecosystem for developers and non-developers alike
Use up to 5 days per year to volunteer for a good cause of your choice
Join one of our team member resource groups
Private medical & dental health insurance
Childbirth cash benefit

Fulltime

New

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

New

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

85000.00 - 150000.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or another related technical field Required
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field Preferred
2+ years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows Required
6+ years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics Required
Expert knowledge on SQL and Python programming
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed
Experience in tuning queries for performance and scalability
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar
Excellent organizational, prioritization and analytical abilities
Have proven experience working in incremental execution through successful launches

Job Responsibility

Work closely with various business, IT, Analyst and Data Science groups to collect business requirements
Design, develop, deploy and support high performance data pipelines both inbound and outbound
Model data platform by applying the business logic and building objects in the semantic layer of the data platform
Optimize data pipelines for performance, scalability, and reliability
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata
Troubleshoot and resolve data engineering issues as they arise
Develop REST APIs to expose data to other teams within the company

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays

Fulltime

New

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to lead the design and ...

Location

United Kingdom

Salary:

45000.00 - 60000.00 GBP / Year

Activate Group Limited

Expiration Date

Until further notice

Requirements

Proven experience as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar
Strong hands-on expertise with Microsoft Fabric and related services
End-to-end DWH development experience, from ingestion to modelling and consumption
Strong background in data modelling, including star schema, dimensional modelling and semantic modelling
Experience with orchestration, monitoring and optimisation of data pipelines
Proficiency in SQL and strong understanding of database principles
Ability to design scalable data architectures aligned to business needs

Job Responsibility

Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric
Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse)
Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption
Establish and enforce data governance, documentation and best practices across the data ecosystem
Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
Provide technical leadership, mentoring and guidance to junior team members where required

What we offer

33 days holiday (including bank holidays)
Personal health cash plan – claim back the cost of things like dentist and optical check ups
Enhanced maternity / paternity / adoption / shared parental pay
Life assurance: three times basic salary
Free breakfasts and fruit
Birthday surprise for everybody

Fulltime

New

Senior Data Engineer

For this role, we are seeking a Senior Data Engineer for our Client's ETL Suppor...

Location

India

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

In-depth knowledge of AWS Glue, AWS Lambda, and AWS Step Functions
A deep understanding of ETL processes and data warehouse design
Proven ability to troubleshoot data pipelines and perform root cause analysis (RCA)
3-5 years of relevant experience
Hands-on experience with Glue, Lambda, and Step Function development
Must be able to work a day shift that includes coverage for weekends and holidays on a rotational basis

Job Responsibility

Monitor approximately 2,300 scheduled jobs (daily, weekly, monthly) to ensure timely and successful execution
Execute on-demand jobs as required by the business
Troubleshoot job failures, perform detailed root cause analysis (RCA), and provide clear documentation for all findings
Address and resolve bugs and data-related issues reported by the business team
Verify source file placement in designated directories to maintain data integrity
Reload Change Data Capture (CDC) tables when structural changes occur in source systems
Help manage synchronization between external databases (including Teradata write-backs) and AWS Glue tables
Assist in developing new solutions, enhancements, and bug fixes using AWS Glue, Lambda, and Step Functions
Answer questions from the business and support User Acceptance Testing (UAT) inquiries
Make timely decisions to resolve issues, execute tasks efficiently, and escalate complex problems to senior or lead engineers as needed, all while maintaining agreed-upon SLAs

Fulltime

New

Senior Data Engineer

Our client is a global jewelry manufacturer undergoing a major transformation, m...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server
Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes
Practical experience with Azure Data Factory, Databricks, and PySpark
Track record of designing, building, and delivering production-ready data products at enterprise scale
Strong analytical skills and ability to translate business requirements into technical solutions
Excellent communication skills in English, with the ability to adapt technical details for different audiences
Experience working in Agile/Scrum teams

Job Responsibility

Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform
Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models
Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions
Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits
Promote a “build-once, consume-many” approach to maximize reuse and value creation across business verticals
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

New

Senior Data Engineer

Our client is a global jewelry manufacturer undergoing a major transformation, m...

Location

Turkey , Istanbul

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server
Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes
Practical experience with Azure Data Factory, Databricks, and PySpark
Track record of designing, building, and delivering production-ready data products at enterprise scale
Strong analytical skills and ability to translate business requirements into technical solutions
Excellent communication skills in English, with the ability to adapt technical details for different audiences
Experience working in Agile/Scrum teams

Job Responsibility

Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform
Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models
Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions
Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits
Promote a “build-once, consume-many” approach to maximize reuse and value creation across business verticals
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering

What we offer

Paid Vacation
Hybrid Work (home/office)
Sick Days
Sport/Insurance Compensation
Holidays Day Off
English Classes
Training Compensation
Transportation compensation

Senior Data Engineer

Aiven Deutschland GmbH

Location:
Germany, Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 16, 2025

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Location:Germany, Berlin

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Requirements:

Additional Information:

Job Posted:December 16, 2025

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Job Posted:
December 16, 2025