Graduate Data Engineer Job at 360 Resourcing Solutions (Skelmersdale)

Graduate Data Engineer

As a Graduate Data Engineer, you will build and maintain scalable data pipelines...

Location

United Kingdom , Marlow

Salary:

Not provided

SRG

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Mathematics, or similar, or similar work experience
Up to 2 years of experience building data pipelines at work or through internships
Can write clear and reliable Python/PySpark code
Familiar with popular analytics tools (like pandas, numpy, matplotlib), big data frameworks (like Spark), and cloud services (like Palantir, AWS, Azure, or Google Cloud)
Deep understanding of data models, relational and non-relational databases, and how they are used to organize, store, and retrieve data efficiently for analytics and machine learning
Knowledge about software engineering methods, including DevOps, DataOps, or MLOps is a plus
Master's degree in engineering (such as AI/ML, Data Systems, Computer Science, Mathematics, Biotechnology, Physics), or minimum 2 years of relevant technology experience
Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus
Have a proactive and adaptable mindset: willing to take initiative, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description
Show a strong ability to thrive in situations of ambiguity, taking initiative to create clarity for yourself and the team, and proactively driving progress even when details are uncertain or evolving

Job Responsibility

Build and maintain data pipelines, leveraging PySpark and/or Typescript within Foundry, to transform raw data into reliable, usable datasets
Assist in preparing and optimizing data pipelines to support machine learning and AI model development, ensuring datasets are clean, well-structured, and readily usable by Data Science teams
Support the integration and management of feature engineering processes and model outputs into Foundry's data ecosystem, helping enable scalable deployment and monitoring of AI/ML solutions
Engaged in gathering and translating stakeholder requirements for key data models and reporting, with a focus on Palantir Foundry workflows and tools
Participate in developing and refining dashboards and reports in Foundry to visualize key metrics and insights
Collaborate with Product, Engineering, and GTM teams to align data architecture and solutions, learning to support scalable, self-serve analytics across the organization
Have some prompt engineering experience with large language models, including writing and evaluating complex multi-step prompts
Continuously develop your understanding of the company's data landscape, including Palantir Foundry's ontology-driven approach and best practices for data management

Data Graduate Program

Fever's Data Graduate Program is a unique six-month rotational program designed ...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor/master's/PhD degree in Data Engineering, Data Science, Computer Engineering, Telecommunications, Mathematics or a related field
Top 10% of class with strong academic record
Curious, eager to learn, and excited to work in a fast-growing company
Strong analytical and problem-solving skills
All credits completed
Business-level English proficiency

Job Responsibility

Rotation across Data Engineering teams: build and manage scalable data pipelines using SQL, Python, and cloud-based databases
Rotation across Machine Learning teams: work on real-world ML models and recommendations, learn how ML models are developed, trained, and deployed
Rotation across Data Science teams: analyze complex business problems and help drive data-driven decisions using A/B testing and predictive modeling
Rotation across Web Analytics & Data Collection teams: improve data collection across Fever ecosystem using GA4 and Mixpanel

What we offer

Paid six-month contract with opportunity to transition into full-time role
Mentorship and training from experts
English lessons
40% discount on all Fever events
Cigna Health Insurance
Flexible remuneration with 100% tax exemption through Cobee
Gympass Membership
Relocation assistance for candidates outside Madrid

Fulltime

Data Engineer

An entry level, highly motivated, results oriented individual with strong data e...

Location

United States , Starkville; Dallas; San Francisco; Syracuse

Salary:

Not provided

PhasorSoft Group

Expiration Date

Until further notice

Requirements

Data engineering experience in the industry working in data architecture, data modeling, master data management, and metadata management
Working experience with relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
Scaling and optimizing schemas, performance tuning SQL and ETL pipelines in OLAP and Data Warehouse environments
Moving fluidly between programming languages: Scala, Java, and Python
Familiarity with data governance frameworks, SDLC, and Agile methodology
BE/BTech, MS in CS, CE, SE, Data Science, BIS, and MIS - recent Graduate is required
Good written and verbal communication skills

Fulltime

Data Graduate Program

Fever’s Data Graduate Program is a unique six-month rotational program designed ...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Have a bachelor / master's / PhD degree in Data Engineering, Data Science, Computer Engineering, Telecommunications, Mathematics or a related field
Are among the top 10% of their class and have a strong academic record
Are curious, eager to learn, and excited to work in a fast-growing company
Have strong analytical and problem-solving skills
Have all your credits completed
Speak and understand business-level English

Job Responsibility

Learn how to build and manage scalable data pipelines
Work with tools like SQL, Python, and cloud-based databases
Work on real-world ML models and recommendations
Learn how ML models are developed, trained, and deployed
Analyze complex business problems and help drive data-driven decisions
Use A/B testing and predictive modeling to optimize Fever’s platform
Improve how data is collected across the complex Fever ecosystem (multiple websites and mobile apps) to deliver the best quality inputs to all internal areas and stakeholders to make better decisions

What we offer

A paid six-month contract in Madrid, with the opportunity to transition into a full-time role
Rotation across key data teams
Mentorship and training from experts in the field
A fast-paced, high-impact learning environment where you’ll contribute from day one
English lessons
40% discount on all Fever events
Cigna Health Insurance
Flexible remuneration with a 100% tax exemption through Cobee
Gympass Membership

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology (4-year graduate course)
5 to 8 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

What we offer

Citi is an equal opportunity employer
Consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology (4-year graduate course)
5 to 8 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

What we offer

Designed to support your well-being, growth, and work-life balance

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 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

Graduate Data Engineer

360 Resourcing Solutions

Location:
United Kingdom , Skelmersdale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 04, 2026

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January 04, 2026