Analyst data engineering Work, Jobs in Pocklington, Ery (with Salaries)

Senior Analyst - Data Engineering
NASDAQ —York
- £75,000 - £103,000 a year
- Full-time
- Computer Science
- Engineering
- Java
Graduate - Data Analyst
Network Rail —York
- £32,000 a year
- Full-time
- SQL
- Analysis skills
- Business
12d
Business Analyst
Optix —York
- Full-time
- Hybrid work
- Azure
- Continuous improvement
- Software development
- Flexitime
- Work from home
Quick apply
1d
QA Analyst
Tribal Group —Hessle
- £33,000 - £37,000 a year
- IT
- AI
- Employee assistance programme
- Flexible schedule
8d
Junior Level 3 Support Analyst
Anaplan —York
- Engineering
- Data analysis skills
- English
Quick apply
11d
Level 3 Support Analyst - AI Specialist
Anaplan —York
- Azure
- Engineering
- English
Quick apply
7h
PLM / Digital Engineering Developer
BAE Systems Inc. —York
- £88,189 - £149,922 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Annual leave
- Employee assistance programme
Enterprise Data Operations Lead
StarCompliance —York
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Quick apply

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Graduate Data Analyst
Sika —Leeds
Sika has subsidiaries in 103 countries, produces in over 400 factories, and approximately 33,000 employees generated CHF 11.20 billion in sales in 2025.
Quick apply
5d
Graduate - Data Analyst
Network Rail —York
Our 2-year Data Analytics graduate scheme will give you the tools, and experience to begin your career at Network Rail, focussing on data. What you'll be doing.
£32,000 a year
12d

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Senior Analyst - Data Engineering

NASDAQ -
York

Apply Now

Job details

Full-time
£75,000 - £103,000 a year

Qualifications

Computer Science
Big data
Engineering
Spark
Git
Java
SQL
AWS
Bachelor's degree
Scripting
S3
Linux
Kafka
Communication skills
Python
Shell Scripting

Full job description

As a Senior Data Engineer reporting to the Director of Data Science, you'll play a critical role in building and scaling innovative data products that power some of the world's most successful financial organizations — from traditional market data to cutting-edge alternative data sources.

You'll thrive in this position if you're curious, data-driven, and collaborative, with a passion for financial technology and a drive to deliver reliable, high-quality solutions in a fast-moving environment.

Key Responsibilities

Design, build, and maintain scalable data pipelines — covering ingestion, transformation, enrichment, and delivery of financial and alternative datasets.
Partner with Data Science, Product Management, and Engineering teams to develop and launch new data products.
Ensure the quality, accuracy, timeliness, and completeness of data products through robust monitoring and quality frameworks.
Contribute to the onboarding of new data sources, including exchange data and non-traditional alternative data (e.g., satellite imagery, consumer transactions).
Support continuous improvement of existing data products and infrastructure to enhance performance and reliability.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or a related STEM field, or equivalent practical experience.
2–4 years of experience in data engineering, with hands-on proficiency in Python, SQL, PySpark/Spark, Java, and shell scripting.
Experience working with cloud and big data platforms such as AWS (S3/EC2) and Databricks in a Linux environment.
Solid understanding of version control practices using Git or equivalent tools.
Strong communicator with the ability to collaborate effectively across technical and non-technical teams.

Preferred Qualifications

Proven knowledge of financial markets data, including equities pricing, volumes, and fundamentals.
Experience building or maintaining financial data products in a production environment.
Familiarity Kafka in a data engineering context.

This position will be located in Toronto and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What We Offer

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

The base pay range for this role is $75,000 - $103,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Apply Now

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analyst data engineering jobs in pocklington, ery

Senior Analyst - Data Engineering

Graduate - Data Analyst

Business Analyst

QA Analyst

Junior Level 3 Support Analyst

Level 3 Support Analyst - AI Specialist

PLM / Digital Engineering Developer

Enterprise Data Operations Lead

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