At a Glance
- Tasks: Design and maintain data pipelines and analytics-ready datasets for impactful decision-making.
- Company: Join TalkTalk Business, a leading B2B tech provider with a focus on innovation.
- Benefits: Enjoy a competitive salary, bonus scheme, and comprehensive benefits package.
- Other info: Flexible hybrid working model with opportunities for personal and professional growth.
- Why this job: Shape the future of business connectivity while growing your skills in a dynamic environment.
- Qualifications: Strong SQL skills, experience with Databricks, Python, and cloud-based data platforms.
The predicted salary is between 45000 - 55000 £ per year.
About Us
TalkTalk Business is one of the UK’s leading B2B technology & managed service providers, offering a full range of business-grade communications products and services, spanning internet access, data, voice and network infrastructure. For over 30 years, we’ve served businesses of every size – from national retailers to small and medium-sized enterprises – with future-proof, scalable technology and dedicated support. Our mission is simple: to empower UK organisations to exceed their ambitions by delivering trusted service and innovative solutions.
The Role
The Data Engineer role develops and maintains trusted, high-quality data pipelines, warehouse structures and analytics-ready datasets to support reporting, insights, decision-making and AI initiatives across the organisation.
Responsibilities
- Design, develop, and maintain data pipelines to ingest, cleanse, transform, and curate data from multiple source systems.
- Build and optimise data warehouse structures that support reporting, insights, and AI use cases.
- Develop scalable data solutions using Databricks, SQL, Python, and Azure data technologies.
- Create and maintain high-quality datasets, semantic models, and data products for Power BI reporting and self-service analytics.
- Implement data quality controls, monitoring, and validation processes to improve trust and confidence in organisational data.
- Support the delivery of AI-ready data by ensuring data is accessible, secure, governed, and fit for purpose.
- Collaborate with business stakeholders, analysts, and technology teams to understand requirements and deliver data solutions that drive value.
- Contribute to the continuous improvement of data engineering standards, processes, and best practices.
Skills and experience we are looking for
- Strong SQL development skills and experience working with large and complex datasets.
- Experience building and maintaining data pipelines and ETL/ELT processes.
- Hands-on experience with Databricks for data engineering and transformation workloads.
- Proficiency in Python for data cleansing, transformation, automation, and analytics workflows.
- Experience designing and supporting enterprise data warehouse solutions.
- Experience developing and optimising Power BI datasets, semantic models, and reporting solutions.
- Strong understanding of data quality, governance, and data management principles.
- Experience working with Azure data technologies and cloud-based data platforms.
- Ability to translate business requirements into scalable and maintainable data solutions.
How you will work
At TalkTalk Business we understand the importance of flexibility and connection in the workplace. That’s why we have adopted a hybrid approach to working. Our way of working is to work 3 out of 5 days in the office at our HQ in Soapworks, Salford Quays with the remaining days offering the option to work from home.
What can we offer you?
- Competitive Salary and Bonus Scheme: Earn a rewarding salary with a bonus scheme designed to recognise your hard work and dedication.
- Comprehensive Benefits Package: Support your wellbeing, achieve a work-life balance, and plan for the future with our all-inclusive benefits.
- Personal and Professional Growth: Take advantage of opportunities for career advancement and personal development.
Be a part of our story. We've created a happy, diverse, inspiring workplace for real people, just like you. If you understand what customers want and are committed to making it happen, be a part of our story.
Data Engineer in Manchester employer: TalkTalk Business
At TalkTalk Business, we pride ourselves on being an excellent employer by fostering a dynamic work culture that values collaboration and innovation. Our hybrid working model allows for flexibility, ensuring a healthy work-life balance while providing ample opportunities for professional growth within the telecommunications sector. Join us in Salford, where you can make a meaningful impact on business connectivity and enjoy a supportive environment that encourages your success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨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 TalkTalk Business!
✨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 TalkTalk Business.
✨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 TalkTalk Business.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at TalkTalk Business, 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 Manchester
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 TalkTalk Business, 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 TalkTalk Business. 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 TalkTalk Business
✨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 TalkTalk Business!
✨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.
