At a Glance
- Tasks: Build secure data pipelines and transform data for impactful analytics.
- Company: Renowned IT client offering end-to-end solutions in the UK and EU.
- Benefits: Remote work, competitive pay, and opportunities for professional growth.
- Other info: Contract role with a focus on innovative data solutions.
- Why this job: Join a dynamic team and make a difference with advanced data technologies.
- Qualifications: Experience in SQL, Python, and data transformation required.
The predicted salary is between 60750 - 74250 £ per year.
We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market.
We are looking to hire a Data Engineer for an Advanced Analytics role for one of our renowned IT clients in the UK. This is a contract role and remote working.
A strong Data Engineer is required to work on the Data Transformation workstream within the client’s Digital Screening. The core focus of this role is to build secure, repeatable data ingestion and transformation pipelines, to implement data cleansing rules, and to produce auditable, reproducible outputs.
- Capability in data transformation-heavy pipelines from data profiling to cleansing to standardization, conformance and publishing.
- Advanced knowledge of SQL for profiling, joins/merges, deduplication, anomaly detection, and performance tuning.
- Scripting knowledge in Python for automation, parsing, rules engines, and data quality checks, with the ability to write maintainable code.
- Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib).
- Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with code.
- Proven experience working with geospatial data, including handling spatial formats (e.g., vector, raster, GeoJSON, shapefiles), coordinate reference systems, and spatial analysis workflows.
- Strong ability to interpret and apply geographical context in data processing pipelines, with demonstrated capability to aggregate, upscale, or translate local/regional geospatial insights into broader national or regional-level datasets and analytical outputs.
- Experience working with publicly available official datasets, particularly Office for National Statistics (ONS) open data products (e.g., census boundaries, geographic lookups, deprivation indices, or mid-year population estimates).
- Able to build rules for completeness, validity, and consistency, and implement exception handling.
Data Engineer employer: Technopride Ltd
As a leading provider of end-to-end IT solutions in the UK and EU, we pride ourselves on fostering a dynamic work culture that prioritises innovation and collaboration. Our remote working model offers flexibility, while our commitment to employee growth ensures that you will have access to continuous learning opportunities and cutting-edge projects. Join us in London to be part of a team that values your contributions and supports your professional journey in the exciting field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Technopride Ltd before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Technopride Ltd.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Technopride Ltd.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Technopride Ltd, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Technopride Ltd, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Technopride Ltd’s attention and show the tangible impact of your work.
How to prepare for a job interview at Technopride Ltd
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Technopride Ltd.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Technopride Ltd.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Technopride Ltd.
