Senior Data Engineer Job at RED Commerce - The Global SAP Solutions Provider (Vilnius)

New

Senior Data Engineer

We’re looking for a Senior Data Engineer to help scale and evolve our data platf...

Location

United States

Salary:

150000.00 - 180000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

A min of 5+ years of software engineering experience with the last 2-3 years in data engineering, ideally including early-stage or 0→1 environments
Strong Python programming experience
Advanced proficiency in SQL
Proven experience building ETL/ELT pipelines end-to-end
Experience with orchestration tools like Airflow
Deep understanding of the data lifecycle: ingestion → storage → processing → transformation → serving
Experience with cloud platforms (AWS, GCP, or Azure)
Experience supporting BI tools (Looker, Tableau, etc.)
Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift)

Job Responsibility

Design and scale our data platform including pipelines, models, and orchestration frameworks
Develop scalable ETL/ELT pipelines for ingesting data from APIs, databases, and event streams
Define and implement systems for data ingestion, storage, processing, and transformation
Build and manage workflow orchestration using tools like Airflow
Build semantic layer as well as dashboards
Establish best practices for data modeling, testing, and quality
Partner with stakeholders to shape data requirements and enable BI and analytics use cases
Optimize systems for performance, scalability, and cost from day one
Apply software engineering principles (testing, CI/CD, modular design) to data infrastructure

Fulltime

New

Senior Data Engineer

About this role: Wells Fargo is seeking a Senior Data Engineer. In this role, ...

Location

India , Hyderabad

Salary:

Not provided

Wells Fargo

Expiration Date

June 12, 2026

Requirements

4+ years of Data Engineering experience
Bachelor's degree in Computer Science, Engineering, or a related field
6-10 years of professional experience in data engineering or related roles
Proven experience handling large-scale, high-volume data systems
Apache Spark (Core, SQL, DataFrames/Datasets)
ETL tools – Preferably Informatica
Databases: Oracle
Streaming Technologies: Apache Kafka and Apache Flink
Cloud Storage: Amazon S3
NoSQL: Working knowledge of MongoDB

Job Responsibility

Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals
Design, develop, and maintain scalable and reliable data pipelines using Apache Spark for batch and near-real-time processing
Build, enhance, and support ETL workflows, preferably using Informatica, ensuring data quality, performance, and reliability
Develop and maintain integrations with Oracle databases, including data modeling, performance tuning, and query optimization
Implement and manage streaming data pipelines using Apache Kafka and Apache Flink for real-time data ingestion and processing

Fulltime

!

New

Senior Data Engineer

Senior Data Engineer. Must Haves: Strong hands-on experience building and suppor...

Location

United States , Los Angeles

Salary:

Not provided

Beacon Hill

Expiration Date

Until further notice

Requirements

Strong hands-on experience building and supporting production-grade data pipelines using PySpark and Apache Spark
Extensive experience working within Databricks environments
Experience with Databricks Unity Catalog migrations and modernization initiatives
Experience with Databricks Unity Catalog governance and security models
Strong understanding of ETL/ELT design, data modeling, and incremental data processing
Experience modernizing legacy data platforms and data migration projects
Experience working with large-scale datasets in cloud-based data platforms
Experience with workflow orchestration, scheduling, and pipeline automation
Knowledge of cloud data platforms such as Snowflake and/or Google Cloud
Experience implementing data quality checks, monitoring, logging, and alerting

Job Responsibility

Migrate existing data assets and pipelines to Databricks Unity Catalog
Refactor and optimize existing pipelines using modern engineering standards and best practices
Build and maintain scalable PySpark-based data pipelines
Develop new source-of-truth datasets and modernize legacy data workflows
Design and implement workflow orchestration using Databricks Jobs
Deploy and manage pipelines using Databricks Asset Bundles
Ensure data pipelines are reliable, observable, and production-ready
Implement data quality controls, monitoring, and operational alerting
Support platform migrations, testing, validation, and production cutovers
Partner with engineering teams to improve platform stability, scalability, and data reliability

Fulltime

New

Senior Data Engineer

We are seeking an experienced Senior Data Engineer to join a leading automotive ...

Location

Sweden , Gothenburg

Salary:

53333.00 - 66667.00 SEK / Month

Amaris Consulting

Expiration Date

Until further notice

Requirements

Strong hands-on experience with PySpark and Databricks in production environments
Advanced Python programming skills
Experience with Git/Gerrit and CI/CD pipelines (GitHub Actions, Jenkins, GitLab, or similar)
Solid knowledge of Docker and workflow orchestration tools such as Airflow or Databricks Jobs
Expertise in designing scalable, privacy-compliant data architectures and pipelines
Strong SQL skills and experience handling large-scale datasets
Experience with Azure cloud services and Snowflake (or equivalent cloud data warehouse technologies)
Knowledge of monitoring, observability, automated testing, and cost optimization practices
Familiarity with Power BI or similar BI and reporting tools
Understanding of automotive UDS diagnostics and vehicle signal data

Job Responsibility

Design and develop scalable data pipelines using PySpark and Databricks
Build and maintain raw and refined data products related to vehicle signals, software versions, drive cycles, distance measurements, and driver feedback
Optimize data processing performance, reliability, and cost efficiency
Implement monitoring, observability, automated testing, and usage tracking for data products
Collaborate with architects, engineers, Product Owners, and business stakeholders to deliver robust data solutions
Support documentation, knowledge transfer, and operational handovers
Contribute to technical leadership and best practices within the data engineering domain

What we offer

An international community, bringing together 110+ different nationalities
An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
A robust training system with our internal Academy and 250+ available modules
A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
Opportunity to turn ideas into action and make a tangible impact through ESG commitments
WeCare Together program empowering employees to design and lead projects that create social or environmental impact

Fulltime

New

Senior Data Engineer

Senior Data Engineer - Media Org (Hybrid NYC or LA). I’m working on a Senior Dat...

Location

United States , New York City or Los Angeles

Salary:

Not provided

Lawrence Harvey

Expiration Date

Until further notice

Requirements

Strong Data Engineering experience building production data pipelines
Strong PySpark and SQL expertise
Experience with Databricks or similar Spark-based cloud platforms
Experience building batch and streaming pipelines
Experience with orchestration tools such as Airflow or similar
Familiarity with AWS environments, data lakes, and modern cloud data architecture
Experience with modern Lakehouse design patterns, including Medallion Architecture (Bronze, Silver / Gold layers) for structuring scalable and modular data pipelines

Job Responsibility

Designing batch and real-time data pipelines
Working heavily within a Databricks environment
Helping shape modern lakehouse architecture
Partnering closely with analytics, product, and data science teams

Fulltime

New

Senior Data Engineer

At AO, we’re all about using data to make smarter decisions and create brilliant...

Location

United Kingdom , Bolton

Salary:

Not provided

AO

Expiration Date

Until further notice

Requirements

Solid experience in data engineering, building and maintaining data pipelines
Strong hands-on knowledge of AWS services like Redshift, Glue, Spectrum and Lambda
Confidence working with Python and TSQL
A good understanding of data modelling, ETL processes and data warehousing
Experience (or exposure to) Infrastructure as Code tools such as Terraform or CloudFormation
Familiarity with CI/CD pipelines and automated deployment practices
A natural problem solver who enjoys improving and optimising the way things work
Comfortable collaborating with different teams and bringing ideas to life together
Someone who’s keen to share knowledge and support others’ development

Job Responsibility

designing and building robust data pipelines that keep our data flowing smoothly and reliably, using AWS tools like Redshift, Glue, Spectrum and Lambda
Working closely with teams across AO, you’ll turn business needs into practical, scalable solutions that help unlock the value of our data
continuously improve performance, reliability and cost-efficiency across our data systems, while making sure everything is secure and compliant
setting up automated deployments using Infrastructure as Code and CI/CD pipelines, to troubleshooting issues and documenting your work, you’ll help keep things running seamlessly
share your knowledge with others in the team, helping to coach and support colleagues as we grow

What we offer

25 days holidays, plus bank holidays (increasing to 27 days after 2 years with us)
Pension
Contribute 5% of your annual salary and we'll do the same
Be a VIP at the AO Arena
discounted gym membership
an onsite spa
Help @ Hand scheme giving you access to virtual GP’s, Mental Health support and much more
exclusive discounts across our product range
Enhanced Maternity, Paternity and Adoption leave
2 fully paid days a year to donate your time to any charity of your choice

Fulltime

New

Senior Data Engineer

Are you a Senior Data professional who enjoys mentoring talent and designing hig...

Location

Greece , Athens

Salary:

Not provided

Randstad

Expiration Date

July 10, 2026

Requirements

University degree in Computer Science, Statistics, Mathematics, or a related Quantitative field.
5+ years of professional experience in Data Engineering with a mastery of MS SQL Server (T-SQL, SSIS, Performance Tuning).
Proven experience in mentoring or leading technical team members.
Exposure to VBM methodologies or a strong understanding of financial/business data modeling.
Hands-on experience with QlikSense or Qlikview (or similar BI visualization tools like Tableau/Power BI).
Excellent command of the English language.
A proactive leader with an analytical mindset and a passion for knowledge sharing.

Job Responsibility

Lead the design and implementation of robust data architectures using on-premise MS SQL Server technologies.
Mentor and guide junior developers, assisting them in technical design and ensuring best practices in database management and ETL processes.
Develop complex data models that drive strategic business decisions and high-level reporting.
Collaborate with business stakeholders to translate VBM methodologies into technical requirements.
Oversee the integration of data flows into visualization tools, ensuring data accuracy and top-tier performance.

New

Senior Data Engineer

We're looking for an experienced Senior Data Engineer to lead the design, develo...

Location

United Kingdom; Netherlands; Germany; Sweden , Luton; Rijswijk; Hanover; Stockholm

Salary:

Not provided

TUI

Expiration Date

June 22, 2026

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience in data engineering or software development
Master's degree in Computer Science, Data Science, or related field would be beneficial
Proven experience in data engineering and leading technical teams
Strong data engineering skills including SQL and Python, with experience managing codebases, CI/CD pipelines, and code reviews
Knowledge of cloud-based data systems such as Google Cloud Platform and cloud storage solutions like Snowflake/AWS
Deep understanding of data pipeline design, ETL processes, and data integration tools
Expertise in relational and NoSQL databases
Knowledge of data quality assurance methodologies
Excellent problem-solving, analytical, communication, and leadership skills
Professional certifications in cloud platforms

Job Responsibility

Lead the design and implementation of data pipelines and integration processes for customer and marketing data from digital sales channels
Design scalable ETL processes for analytics data
Develop data integration solutions between various platforms
Implement data transformation and enrichment processes
Establish and maintain data quality frameworks
Develop automated data quality checks and validation processes
Implement monitoring systems for data pipeline health
Create documentation and standards for data quality assurance
Collaborate with the Architect to implement technical designs
Translate architectural designs into implementation plans

What we offer

Attractive remuneration
Discretionary bonus schemes
Generous travel benefits
Extensive health & well-being support
Flexible working
Access the TUI Learning Hub
Opportunities to work on global projects and teams
Local charity and sustainability initiatives

Fulltime

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