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- Tasks: Build and optimise data pipelines while collaborating with clients and teams.
- Company: Join Aiimi, a dynamic consultancy shaping data-driven innovation.
- Benefits: Enjoy flexible working, generous leave, and mental health support.
- Other info: Great career growth opportunities and a supportive team culture.
- Why this job: Make an impact in a fast-paced environment with cutting-edge data technologies.
- Qualifications: 1-3 years in data engineering, strong SQL skills, and Python experience.
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 aimed at enhancing outcomes for their customer base. 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.
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.
Qualifications
- 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.
Desirable
- 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.
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 employer: Aiimi Ltd
Contact Detail:
Aiimi Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨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 game. Building relationships can lead to job opportunities that aren’t even advertised!
✨Show Off Your Skills
Don’t just tell us what you can do; show us! Create a portfolio of your projects, whether it’s a GitHub repo or a personal website. Highlight your experience with SQL, Python, and any cool data pipelines you've built. This will make you stand out when we’re looking for our next Data Engineer.
✨Ace the Interview
Prepare for those interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and problem-solving skills clearly. Remember, we want to see how you think, so don’t be afraid to talk through your approach!
✨Apply Through Our Website
We love seeing applications come through our website! It shows you’re genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly. So, hit that apply button and let’s get started!
We think you need these skills to ace Data Engineer
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 ETL tools. 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 in action.
Keep It Clear and Concise: When writing your application, be clear and concise. Use bullet points for easy reading and make sure to document your achievements. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Aiimi Ltd
✨Know Your Data Engineering Basics
Make sure you brush up on your foundational data engineering skills. Be ready to discuss your experience with SQL, Python, and any ETL tools you've used. This will show that you have the technical know-how to support the design and maintenance of data pipelines.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous projects. Whether it’s troubleshooting data pipeline issues or optimising workflows, demonstrating your problem-solving abilities will resonate well with the interviewers.
✨Familiarise Yourself with Their Tech Stack
Research Aiimi's tech stack, especially their use of Databricks and cloud platforms like AWS or Azure. Being able to speak knowledgeably about these tools will show your enthusiasm for the role and your readiness to hit the ground running.
✨Engage with Stakeholders
Since this role involves client interaction, practice how you would communicate technical concepts to non-technical stakeholders. Highlight your ability to understand requirements and contribute to data-driven solutions during the interview.