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- Tasks: Support data pipeline development and contribute to building cloud data solutions.
- Company: Join Alliants, a forward-thinking tech company transforming customer engagement.
- Benefits: Competitive salary, remote work, 33 days holiday, and a ÂŁ1,500 training budget.
- Why this job: Launch your career in data engineering with hands-on experience and expert mentorship.
- Qualifications: Foundational knowledge of data engineering and cloud platforms; eagerness to learn.
- Other info: Dynamic team environment with a focus on diversity and inclusion.
The predicted salary is between 25000 - 35000 ÂŁ per year.
We’re on a mission to transform every customer engagement into something exceptional. We believe in working smart together to push the boundaries of company culture and create future‑proof customer experiences. Are you passionate about creating meaningful customer experiences and helping organisations deliver on their brand promises? We’re looking for a recent graduate or early‑career professional passionate about data, cloud technology, and problem‑solving. This is your chance to launch your career in a supportive and expert team.
As our new Data Engineer, you won’t be expected to know everything on day one. Instead, you’ll learn from a team of senior engineers, scientists, and analysts, contributing to real client projects while building your skills. You will support the team in building and maintaining cloud data solutions for our clients, gaining hands‑on experience with cutting‑edge technologies across Azure, AWS, and GCP. This is a role for someone who is curious, eager to learn, and ready to become a data expert. Join us as a Data Engineer in our growing Data Division team!
Job Requirements- Foundational knowledge of data engineering concepts, gained through university, internships, or personal projects.
- Academic or personal project exposure to a major cloud platform, preferably Azure.
- Familiarity with building data pipelines using tools such as Azure Data Factory, Python, Spark, or similar technologies.
- An understanding of Infrastructure as Code principles (e.g., Terraform, ARM templates, Bicep).
- An understanding of CI/CD concepts and version control tools (e.g., Git).
- Proficiency in SQL and at least one scripting/programming language (e.g., Python, PowerShell).
- A good understanding of security best practices in a cloud environment.
- Ability to work with stakeholders to understand and translate business requirements into technical solutions.
- Interest in or familiarity with a multi‑cloud environment (Azure, AWS).
- Knowledge of database technologies (SQL and NoSQL) and data warehousing concepts.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Familiarity with Agile methodologies.
- Familiarity with data visualisation tools (e.g., Power BI, Tableau).
- Strong problem‑solving and analytical skills.
- Excellent communication skills, both written and verbal.
- Ability to work effectively in a team environment and across departments.
- Self‑motivated and proactive in identifying and addressing data‑related issues.
- Detail‑oriented with a strong focus on data quality and integrity.
- Eager to learn and adapt to new technologies and business requirements.
- A relevant cloud certification (e.g., Azure Data Engineer Associate, AWS Certified Data Analytics), or a strong desire to achieve one (we can help!).
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- Support Data Pipeline Development: Assist the team in building and maintaining data pipelines that move and transform data from various sources. You’ll learn the ins and outs of ETL/ELT processes.
- Learn Cloud Infrastructure: Contribute to building secure and scalable cloud data solutions on platforms like Azure and AWS. You’ll help select the right tools for the job and see how they work in the real world.
- Get Hands‑On with Infrastructure as Code (IaC): Learn to use and maintain scripts (using tools like Terraform or Bicep) that automate the creation of our cloud infrastructure.
- Assist with Data Modelling & Warehousing: Help develop data models and implement data warehousing solutions (like Azure Synapse or Snowflake) that power our clients’ analytics.
- Contribute to CI/CD Pipelines: Support the team in maintaining our automated systems (using Azure DevOps or GitHub Actions) for testing and deploying code efficiently.
- Help Monitor Performance: Learn how to implement monitoring and logging to keep our data pipelines healthy and running smoothly, and assist in making them faster and more efficient.
- Collaborate and Communicate: Work closely with the entire data team to understand project goals and help deliver brilliant technical solutions.
Alliants, established in 2009, is dedicated to producing customer engagement technologies and services that pave the way for a more human, sustainable, and promising future for hospitality. We are all in for our people and our industry. What’s in it for you?
- A competitive salary
- Up to 10% annual bonus
- Remote & flexible working
- 33 days holiday, including public holiday
- Monthly takeaway allowance
- ÂŁ1,500 training and development budget each year
- To celebrate you joining the team we will plant a Great Oak tree
Alliants celebrate diversity and are committed to creating an inclusive environment for all employees.
Data Engineer in Southampton employer: Alliants
Contact Detail:
Alliants Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Southampton
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. Don’t be shy; ask for informational interviews to learn more about their experiences and get insider tips on landing that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or cloud technologies. This is your chance to demonstrate what you can do, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data engineering. Use platforms like StudySmarter to brush up on your knowledge of SQL, Python, and cloud services. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Alliants. Don’t miss out on this opportunity!
We think you need these skills to ace Data Engineer in Southampton
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us know why you're excited about data engineering! Share any personal projects or experiences that sparked your interest in data and cloud technology. We love seeing that enthusiasm!
Tailor Your Application: Make sure to customise your CV and cover letter to highlight the skills and experiences that match our job description. Mention specific tools or technologies you've worked with, like Azure or Python, to show you're a great fit for the role.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Alliants
✨Know Your Data Engineering Basics
Brush up on foundational data engineering concepts before the interview. Be ready to discuss your academic background, internships, or personal projects that showcase your understanding of data pipelines and cloud platforms like Azure.
✨Show Off Your Cloud Knowledge
Familiarise yourself with the major cloud platforms mentioned in the job description, especially Azure. Prepare to talk about any hands-on experience you have with tools like Azure Data Factory or Terraform, and how you've applied them in real-world scenarios.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle hypothetical problems during the interview. Think through how you would approach building a data pipeline or resolving a data quality issue, and articulate your thought process clearly.
✨Communicate Effectively
Since communication is key in this role, practice explaining technical concepts in simple terms. Be ready to discuss how you've collaborated with others in past projects, and how you can translate business requirements into technical solutions.
