Apache Spark Jobs

Roles

Apache Spark Jobs

Overview

Discover top Apache Spark jobs on Haystack, your go-to IT job board for data engineering and big data roles. Whether you're a Spark developer, architect, or data scientist, explore the latest opportunities to advance your career in distributed data processing and real-time analytics. Find your perfect Apache Spark job today and join leading tech companies driving innovation with big data.

Filters applied

Apache Spark

Search

Salary

Location

Remote preference

Role type

Seniority

Tech stack

Sectors

Contract type

Company size

Visa sponsorship

Data Science and AI Industrial Placement

Data Science and AI Industrial Placement (Bristol)Your AI era starts nowAt Lloyds Banking Group, data isnt just something we store in the cloud. Its the juice that keeps ideas flowing, decisions sharper, and progress unstoppable.Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data.On our Data Science & AI Industrial Placement, you wont be on the sidelines watching the algorithms run the show. Youll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether youre optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact.Real impact from day oneThis placement blends office and home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools.You could be:A Data & AI Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens.A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices.Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications.The work you could be doing

Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost.

Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring.

Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making.

Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and OpenAI APIs.

Design agentic AI systems that integrate autonomous decision-making and multi-agent collaboration, contributing to next-gen banking solutions.

Innovate on Google Cloud Platform (GCP), scaling from experimentation to production.

Learn to deliver AI in an ethical and responsible way, understanding AI risks, bias mitigation, explainability, and governance frameworks.

Your skills toolkitYoull have the opportunity to gain hands-on experience in some of the following:

Programming languages like Python

Machine learning techniques and theory

Generative and Agentic AI

AI Solution design and evaluation techniques

Cloud platforms like GCP

CI/CD, DevOps and software engineering

Data analysis, modelling and strategic design

Business and commercial insights

Your AI power-upOn joining, youll fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots dont know yet).You may cover:

Foundations of machine learning

AI literacy

Ensemble methods & model optimisation

Databases & big data

Neural networks & deep learning

LLM foundations, engineering, customisation and integration

MLOps & cloud computing

Its all real-world challenges from day one.Learn it. Apply it. Keep goingYour personal learning plan could include:

Up to three Stanford Artificial Intelligence Professional Programmes

Google Cloud certifications

Coursera courses on everything from advanced ML to AI ethics and explainability

And because your career is more than your day job, youll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work.The team in your corner

A dedicated mentor

A buddy whos been through it before

A close-knit community of data professionals who speak fluent Python and coffee, naturally

Your future. Fully fundedYoull earn a good salary while mastering the skills shaping the future of tech and finance.By the end, youll have increased technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet.RequirementsWhat you need to apply

Youll be in your penultimate year at university.

While we do not require a set minimum projected degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process.

We are unable to offer sponsorship for this programme and you must have full, unlimited right to work in the UK.

Knowledge of analytical techniques and experience in manipulating and deriving insight from data.Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form part of the assessments.

LocationsChoose from various UK locations including Edinburgh, Bristol, Manchester, Leeds, Halifax and London. Youll be based at an office in that region throughout your programme. With our hybrid working policy, all colleagues are expected to spend a minimum of two days each week in the office.Opening and Closing DateApplications for our Data Science & AI Industrial Placement open on 24th September 2025.Apply soon as our programmes may close early if we receive a high number of applications.How to ApplyOur application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture.At Lloyds Banking Group, we’re driven by a clear purpose; to help Britainprosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you’ll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you’ll have many opportunities to learn, grow and develop.We keep your data safe. So, we’ll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We’ll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.We’re focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together were building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Page 1 of 1

Frequently asked questions

What types of Apache Spark jobs are available on this platform?

We feature a variety of Apache Spark jobs including Data Engineer, Big Data Developer, Spark Developer, Data Scientist, and Analytics Engineer positions across different industries.

Do I need prior experience with Apache Spark to apply for these jobs?

Most Apache Spark jobs require some level of experience with the technology, but entry-level positions and internships are also available for candidates eager to start their careers.

Can I find remote Apache Spark jobs on this job board?

Yes, our platform lists numerous remote Apache Spark opportunities, allowing you to work from anywhere while leveraging your Spark skills.

What skills complement Apache Spark that employers look for?

Employers often seek skills such as Scala, Python, SQL, Hadoop, Kafka, and cloud platforms like AWS or Azure alongside Apache Spark expertise.

How can I improve my chances of landing an Apache Spark job through this board?

To improve your chances, ensure your resume highlights your Spark projects and relevant skills, apply promptly to new listings, and consider upskilling with certifications or courses in big data technologies.