At a Glance
- Tasks: Build and optimise data pipelines while collaborating with clients and teams.
- Company: Join Aiimi, a dynamic consultancy shaping the future of data-driven innovation.
- Benefits: Enjoy 25 days annual leave, flexible working, and mental health support.
- Other info: Great career growth opportunities and ongoing professional development.
- Why this job: Expand your data engineering skills in a fast-paced, collaborative environment.
- Qualifications: 1-3 years in data engineering, strong SQL skills, and familiarity with cloud platforms.
The predicted salary is between 35000 - 45000 € per year.
At Aiimi, we’re seeking a Data Engineer to join our dynamic team, helping to shape the future of data-driven innovation. You will collaborate with some of our major clients to support projects. As a Data Engineer, you will support the design, development, and maintenance of data pipelines and infrastructure that enable advanced analytics and AI solutions. Working closely with Senior Data Engineers, Data Scientists, and client teams, you will contribute to building scalable and reliable data platforms, ensuring data is clean, accessible, and well-structured for analysis. This role is perfect for someone with foundational data engineering skills eager to expand their experience in a collaborative, fast-paced consultancy environment.
Job Requirements
- 1–3 years’ experience in data engineering, software development, or related roles.
- Strong proficiency in SQL, with experience in Python or similar programming languages.
- Experience using Databricks to develop and manage data pipelines and workflows.
- Experience working with ETL/ELT tools and data pipeline frameworks (e.g. Apache Airflow, Apache NiFi).
- Familiarity with relational and NoSQL databases.
- Basic understanding of cloud platforms (AWS, Azure, GCP) and their data services.
- Strong problem-solving skills, with the ability to manage priorities across multiple projects.
- Ability to work effectively in a client‑facing, consultative environment, confidently engaging with stakeholders to understand requirements and contribute to data‑driven solutions.
- Clear communication and documentation skills.
- Exposure to big data technologies (e.g. Hadoop, Spark).
- Knowledge of containerisation and orchestration tools (Docker, Kubernetes).
- Understanding of data modelling and data warehousing concepts.
- Awareness of data security and compliance best practices.
- Relevant certifications or coursework in data engineering or cloud technologies.
Job Responsibilities
- Assist in building, maintaining, and optimising scalable data pipelines and ETL workflows.
- Support the ingestion, transformation, and integration of structured and unstructured data from multiple sources.
- Collaborate with data scientists, analysts, and stakeholders to ensure data availability and quality for modelling and reporting.
- Manage and prioritise tasks across multiple projects within a fast‑paced consultancy environment.
- Write clean, efficient, and well‑documented code for data processing tasks.
- Monitor and troubleshoot data pipeline performance and reliability issues.
- Participate in code reviews and contribute to improving data engineering standards and best practices.
- Assist in implementing data security, privacy, and governance policies.
- Support the deployment and operationalisation of data solutions in cloud environments.
Benefits
- 25 days annual leave (plus bank holidays), increasing by 1 day every two years.
- Flexible working options – remote/hybrid.
- Mental health and wellbeing support, including access to counselling.
- Annual wellbeing allowance (e.g. personal training, fitness, wellness apps).
- Up to 10% of your salary in employee benefits, including critical illness cover, life insurance, and private healthcare (post‑probation).
- Generous company pension contribution.
- Ongoing professional development and training opportunities.
Data Engineer in Milton Keynes employer: Aiimi
At Aiimi, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. As a Data Engineer, you'll enjoy flexible working options, generous annual leave, and a strong focus on mental health and wellbeing, alongside ample opportunities for professional growth in a fast-paced consultancy environment. Join us to be part of a team that values your contributions and supports your career development while working on exciting data-driven projects with major clients.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Milton Keynes
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering field. You never know when a casual chat could lead to your next job opportunity.
✨Show Off Your Skills
Create a portfolio showcasing your projects and skills. Whether it’s a GitHub repository or a personal website, make sure you highlight your experience with SQL, Python, and any data pipeline frameworks you've worked with. This is your chance to shine!
✨Ace the Interview
Prepare for technical interviews by brushing up on your problem-solving skills and understanding of data modelling concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows your enthusiasm for the role and gives us a chance to see your application first-hand. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, Python, and any relevant tools like Databricks or Apache Airflow. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've built or maintained data pipelines. This gives us a clear picture of your hands-on experience and problem-solving skills. Don't be shy about sharing your successes!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless it's relevant. We appreciate well-structured applications that are easy to read.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Aiimi
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Familiarise yourself with Databricks and any ETL/ELT tools mentioned in the job description, like Apache Airflow or NiFi. Being able to discuss your experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles. Think about specific projects where you had to manage priorities or troubleshoot data pipeline issues. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Engage with Stakeholders
Since this role involves client-facing work, practice how you'll communicate with stakeholders. Be ready to discuss how you've previously gathered requirements or collaborated with teams to deliver data-driven solutions. Clear communication is key!
✨Understand Data Security and Compliance
Familiarise yourself with data security best practices and compliance regulations relevant to the role. Be prepared to discuss how you've implemented these in past projects or how you would approach them in this new position. It shows you're not just technically savvy but also aware of the bigger picture.
