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For Companies At a Glance
- Tasks: Join a dynamic team to transform data into actionable insights and drive business value.
- Company: Be part of Aiimi, a leader in data consulting and AI solutions across various sectors.
- Benefits: Enjoy flexible working, 25 days holiday, wellness support, and a generous pension scheme.
- Other info: Opportunities for ongoing professional development and a supportive work culture.
- Why this job: Work with cutting-edge technology and collaborate with experts to solve real-world challenges.
- Qualifications: Essential skills include SQL, Python, and experience with cloud platforms like Azure.
The predicted salary is between 36000 - 60000 £ 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.
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Data Engineer employer: Aiimi Ltd
Contact Detail:
Aiimi Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, Python, and Azure. Having hands-on experience or projects showcasing your skills in these areas can significantly boost your chances of impressing the hiring team.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with AI and analytics. Engaging in conversations on platforms like LinkedIn can help you gain insights into the role and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss real-world examples where you've applied data engineering techniques to solve business problems. Being able to articulate your thought process and the impact of your work will demonstrate your problem-solving abilities.
✨Tip Number 4
Showcase your adaptability by discussing experiences where you've successfully integrated new technologies into existing processes. This aligns well with the company's focus on innovation and modern data practices.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of a Data Engineer. Familiarise yourself with the technologies mentioned in the job description, such as SQL, Python, and Azure.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in data engineering, AI techniques, and any experience with cloud platforms or machine learning frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to solve complex problems. Mention specific examples of how you've used data to drive business value in previous roles.
Highlight Collaboration Skills: Since the role involves working with cross-functional teams, be sure to mention your collaboration skills. Provide examples of how you've successfully worked with others to achieve common goals, especially in technical environments.
How to prepare for a job interview at Aiimi Ltd
✨Showcase Your Technical Skills
Make sure to highlight your SQL and Python coding skills during the interview. Be prepared to discuss specific projects where you've used these technologies, especially in relation to data engineering and AI techniques.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex business challenges using data and AI. This could involve discussing how you diagnosed data quality issues or implemented innovative data collection processes.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You may need to demonstrate your ability to communicate effectively with non-technical stakeholders, so think of examples where you've done this successfully.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with data scientists, analysts, and other professionals. Highlight any successful projects that required teamwork and communication.