At a Glance
- Tasks: Build and maintain reliable data pipelines while solving real-world data challenges.
- Company: Join a forward-thinking company investing in data and technology.
- Benefits: Enjoy hybrid working, training, career progression, and great company perks.
- Other info: Collaborate with diverse teams and work on exciting AI projects.
- Why this job: Make a tangible impact on data quality and governance in a dynamic environment.
- Qualifications: Experience in Data Engineering, strong SQL and Python skills required.
The predicted salary is between 60750 - 74250 £ per year.
BENEFITS – Pension, Hybrid Working, Training & Development, Career Progression, Company Benefits etc.
As part of our continued investment in data and technology, we are strengthening our data infrastructure to make better use of the significant volumes of information generated across the business.
We are looking to hire a Data Engineer to play a key role in improving how data is collected, integrated, structured, and made available across the organisation.
This is a hands‑on role suited to someone who enjoys working with real‑world data, solving data quality challenges, and building reliable pipelines across multiple business systems and data sources.
The Data Engineer MUST have
- Commercial experience in Data Engineering, Analytics Engineering, BI Engineering, or a closely related role
- Strong SQL skills and experience working with relational data
- Good Python skills for data processing and automation
- Commercial experience building or maintaining data pipelines
- Experience integrating data from multiple sources
- Practical experience identifying and resolving data quality and consistency issues
- Understanding of data modelling and analytical data structures
- Experience with ETL or ELT processes
- Experience working with databases, data warehouses, or cloud data platforms
- Strong problem-solving skills and a methodical approach to investigating data issues
The Data Engineer will ideally have the following attributes
- Experience with Microsoft Azure and Azure data services
- Knowledge of Azure Data Factory or similar orchestration tools
- Experience with Databricks, Snowflake, or Microsoft Fabric
- Experience with Azure SQL
- Knowledge of dbt or similar data transformation frameworks
- Experience working with data lakes or cloud data warehouses
- Experience integrating data through APIs
- Knowledge of Power BI, Tableau, or similar visualisation tools
- Understanding of data quality and governance frameworks
- Experience with CI/CD or automated testing for data pipelines
- Experience supporting machine learning or AI projects
- Basic understanding of statistics, machine learning, or Data Science
- Experience using Git or another version control system
- Excellent communication skills and the ability to work with technical and non‑technical stakeholders
The Data Engineer role will involve
- Building, maintaining, and improving reliable data pipelines across multiple business systems
- Extracting, transforming, and loading data into centralised analytical environments
- Integrating data from multiple internal systems and external sources
- Investigating and resolving data quality, consistency, and integrity issues
- Identifying discrepancies between systems and establishing reliable sources of truth
- Developing reusable data transformation and processing workflows
- Writing efficient SQL queries for data extraction, transformation, and analysis
- Using Python to automate data processing and engineering tasks
- Supporting the development and maintenance of data warehouses and analytical data structures
- Monitoring data pipelines and investigating failures or unexpected results
- Working with stakeholders to understand data requirements and translate them into technical solutions
- Documenting data sources, transformations, pipelines, and processes
- Creating trusted datasets to support reporting, analytics, Data Science, and future AI initiatives
- Contributing to improvements in data governance, quality, and accessibility across the organisation
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Data Engineer in Norwich employer: Halian | Managed Services, Recruitment Agency & Contract Staffing
Halian is an excellent employer for those looking to thrive in the dynamic IT and Tech recruitment landscape. With a flexible hybrid working model, competitive rewards, and a strong emphasis on career development, employees are empowered to grow their skills while building meaningful relationships with clients and candidates. The supportive work culture fosters collaboration and innovation, making it an ideal place for ambitious professionals in Reading.
Contact Details:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Norwich
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Halian | Managed Services, Recruitment Agency & Contract Staffing!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Halian | Managed Services, Recruitment Agency & Contract Staffing.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Halian | Managed Services, Recruitment Agency & Contract Staffing.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Halian | Managed Services, Recruitment Agency & Contract Staffing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Norwich
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Halian | Managed Services, Recruitment Agency & Contract Staffing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Halian | Managed Services, Recruitment Agency & Contract Staffing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Halian | Managed Services, Recruitment Agency & Contract Staffing!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
