Senior Data Engineer Job at TUI (Luton)

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Senior Data Engineer

Within COO Technology, Wells Fargo is seeking a Senior Data Engineer to help sha...

Location

United States , Iselin; Charlotte; Irving

Salary:

100000.00 - 196000.00 USD / Year

Wells Fargo

Expiration Date

June 11, 2026

Requirements

4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of data management experience within Public Cloud (GCP, AWS, Azure)
4+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling
4+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Git-based workflows) for data workloads

Job Responsibility

Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer)
Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams
Enable self-service data consumption and governance by standardizing patterns, templates, and platform capabilities rather than one-off pipelines
Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage
Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints
Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies)
Build opinionated data ingestion frameworks (e.g., config-driven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer
Develop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines)
Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration
Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools

What we offer

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement

Fulltime

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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

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

Senior Data Engineer

Identify and implement internal process improvements for data management such as...

Location

United States , Thousand Oaks

Salary:

138325.00 - 172744.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Information Systems, Software Engineering or related field & 2 years of experience involving the following: 1. Creating Data Quality dashboards and report results
2. Coding languages including: Python, Java, or Scala
3. Writing SQL using RDBMS including: Redshift, Postgres, MySQL, Teradata, or Oracle
4. Software DevOps CI/CD tools including: Git, Jenkins, Linux, or Shell Script
5. Using Databricks, Jupyter, or similar notebook environment
and 6. Working with test-driven development or software test automation.

Job Responsibility

Identify and implement internal process improvements for data management such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability
Collaborate with Product Owner, Release Train Engineer, and Scrum Master to plan and execute work
Work with Data Architects to optimize the technical environment for reuse, agility, and performance
Ensure data requirements for applications, data scientists, and cross-functional use cases are met
Maintain high performance and reliability of the system
Contribute to the Exploration and understanding of new tools, and techniques and propose improvements to the existing and new data pipelines
Collaborate cross-functionally with analysts, engineers, data scientists to identify & prioritize requirements, brainstorm solutions, and clarify business objectives for data-centric solutions to achieve continuous improvement
and Assist with data discovery for enhancing reports and designing efficient data stores.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus
other incentive compensation
Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
flexible spending accounts
discretionary annual bonus program

Fulltime

Senior Data Engineer

Senior Data Engineer The Opportunity We are currently partnering with several le...

Location

United Kingdom , United Kingdom

Salary:

350.00 - 600.00 GBP / Day

Myn

Expiration Date

Until further notice

Requirements

data engineering experience
python
sql
etl/elt design
cloud platforms
data modelling
ci/cd and iac
technical leadership
data observability
5+ years of professional experience in data engineering or a related field

Job Responsibility

Take ownership of the end-to-end development of robust, performant, and cost-effective data pipelines, ensuring the reliability of critical data infrastructure
Collaborate closely with cross-functional teams, including data scientists and product managers, to translate complex business needs into high-quality data models and analytical solutions
Act as a technical leader, establishing engineering standards, implementing observability frameworks, and mentoring team members to drive continuous improvement

Senior Data Engineer

The Senior Data Engineer enables the delivery of modern, scalable data solutions...

Location

United States , Atlanta

Salary:

96000.00 - 192000.00 USD / Year

Beretta Clima Italia

Expiration Date

Until further notice

Requirements

Bachelor's degree
5+ years of experience in data engineering
5+ years of experience in open lakehouse architecture in Azure, GCP, AWS and/or Snowflake
5+ years of experience creating automated data pipelines and performing data modeling
5+ years of experience writing SQL, Python, and modern ETL/ELT frameworks

Job Responsibility

Design, build, and optimize data ingestion, transformation, and delivery pipelines that support batch, micro‑batch, and streaming workloads
Develop ETL/ELT workflows that integrate data from enterprise systems, operational platforms, external sources, and commercial applications
Implement scalable data processing patterns that support open lakehouse architectures and medallion‑layered data products
Ensure pipelines are reliable, maintainable, cost‑efficient, and aligned with enterprise engineering standards
Design data models that support analytics, reporting, and data product consumption across raw, refined, and curated layers
Apply medallion architecture principles to ensure data quality, reusability, and consistency across domains
Contribute to architectural decisions that balance performance, scalability, governance, and operational simplicity
Support integration of ERP and enterprise systems
Implement data quality checks, validation rules, and monitoring frameworks
Apply foundational data governance practices including lineage, metadata management, cataloging, and access controls

What we offer

Health Care Benefits: Medical, Dental, Vision
Wellness incentives
Retirement Benefits
Time off and Leave: Paid vacation days, up to 15 days
paid sick days, up to 5 days
paid personal leave, up to 5 days
paid holidays, up to 13 days
birth and adoption leave
parental leave
family and medical leave

Fulltime

Senior Data Engineer

We are seeking a highly skilled and motivated Data Engineer to join our growing ...

Location

Romania , Cluj

Salary:

Not provided

8x8

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering or a similar role
Strong proficiency in Python for data processing and scripting
Hands-on experience with Snowflake(or similar platform), including SQL optimization, schema design, and performance tuning
Proficient in dbt (data build tool) for data transformations and model management
Experience with Airflow (or similar workflow orchestration tools like Prefect or Luigi)
Solid understanding of ELT/ETL principles, data warehousing concepts, and data modeling
Experience with CI/CD tools and version control (e.g., Git)
Familiarity with cloud platforms (AWS, GCP, or Azure)

Job Responsibility

Build and Maintain Data Pipelines
Optimize Data Infrastructure
Collaborate Cross-functionally
Data Modeling
Implement and Enforce Data Quality Standards
Documentation and Best Practices

Fulltime

Senior Data Engineer

We are seeking a Senior Data Engineer to support a high-impact Salesforce initia...

Location

United States , Philadelphia

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7–9 years of experience in data engineering / data integration projects
Strong hands-on experience with: Spark / PySpark (required)
Python for ETL development (required)
Databricks (required)
Experience building data pipelines in AWS environments
Knowledge of data migration and integration frameworks
Experience with Terraform (infrastructure as code)
Familiarity with CI/CD tools (Concourse, GitHub Actions)
Experience working in Agile/Scrum environments
Strong troubleshooting and problem-solving skills

Job Responsibility

Develop ETL pipelines to migrate and integrate data into Databricks
Support Salesforce to Databricks data migration and integration
Design, build, test, and maintain data pipelines on AWS + Databricks
Translate business requirements into scalable data engineering solutions
Contribute to data warehousing components for Salesforce Phase 2
Utilize Terraform for infrastructure provisioning and management
Implement and maintain CI/CD pipelines (Concourse or GitHub Actions)
Perform testing, QA, and documentation for all data engineering work
Provide post-deployment support and troubleshooting
Identify and mitigate risks, including single points of failure (SPOF)

What we offer

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

Fulltime

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