At a Glance
- Tasks: Design and develop modern cloud-based data solutions and scalable data pipelines.
- Company: Join a global organisation leading a significant data transformation programme.
- Benefits: Remote-first work, career progression, and exposure to cutting-edge AI technologies.
- Other info: Collaborative environment with opportunities for mentoring and innovation.
- Why this job: Shape enterprise-wide data strategy and make a real impact on analytics initiatives.
- Qualifications: Strong SQL and Python skills, with experience in data engineering and architecture.
The predicted salary is between 80000 - 98000 £ per year.
167 Solutions are partnering with a global organisation embarking on a significant data transformation programme. As investment in analytics, AI and business intelligence continues to grow, we are seeking a Senior Data Engineer to play a key role in shaping and delivering a modern enterprise data platform.
This opportunity offers the chance to work on large-scale data initiatives, modern cloud technologies and next-generation analytics capabilities that will support strategic decision-making across the business.
The Opportunity
You will join a growing data function responsible for building and evolving a modern cloud-based data ecosystem. Working closely with business stakeholders, product teams and technical leadership, you will help design scalable solutions that transform raw operational data into meaningful business insight.
This role combines hands-on engineering with technical leadership, making it ideal for someone who enjoys solving complex data challenges while mentoring others and influencing the future direction of a data platform.
What You'll Be Doing
- Designing and developing modern cloud-based data solutions
- Building scalable data pipelines that ingest, transform and deliver business-critical information
- Creating high-quality datasets that support reporting, analytics and AI initiatives
- Driving improvements across data architecture, engineering practices and platform performance
- Collaborating with stakeholders to understand business challenges and deliver practical data solutions
- Leading technical discussions and contributing to platform strategy and roadmap planning
- Supporting the implementation of data governance, security and quality frameworks
- Optimising data processes for performance, reliability and scalability
- Working with structured, semi-structured and unstructured data sources
- Supporting the adoption of modern engineering practices and automation
- Mentoring junior engineers and contributing to capability development across the team
- Evaluating emerging technologies and identifying opportunities for innovation
Technical Environment
You will work within a modern Microsoft data ecosystem including:
- Microsoft Azure
- Microsoft Fabric
- Power BI
- SQL
- Python
- Data Lake technologies
- API Integrations
- Data Warehousing
- ETL / ELT Frameworks
- Data Modelling
- Analytics and Reporting Platforms
Essential Skills & Experience
- Strong commercial experience as a Senior Data Engineer, Data Architect or Lead Data Engineer
- Advanced SQL development skills
- Strong Python experience, including data manipulation and transformation
- Experience building enterprise-scale data platforms and pipelines
- Experience working with Microsoft Azure data services
- Strong understanding of data modelling and data architecture principles
- Experience designing solutions for reporting and analytics workloads
- Knowledge of data governance, data quality and security best practices
- Excellent stakeholder management and communication skills
- Experience operating within Agile delivery environments
Desirable Experience
- Microsoft Fabric
- Power BI development
- PySpark
- REST API integrations
- Lakehouse architectures
- AI and Machine Learning platforms
- Retrieval Augmented Generation (RAG)
- Vector databases
- Generative AI solutions
- Power Platform technologies
- Data transformation or modernisation programmes
What We're Looking For
We’re looking for someone who combines strong technical depth with a pragmatic approach to delivery. You’ll be comfortable engaging with both technical and non-technical stakeholders, translating business requirements into scalable solutions and helping shape the future direction of a growing data capability.
This role would suit candidates currently working as:
- Senior Data Engineer
- Lead Data Engineer
- Data Architect
- Analytics Engineer
- Azure Data Engineer
- Microsoft Fabric Engineer
- Data Platform Engineer
What's On Offer?
- Remote-first working model
- Opportunity to shape enterprise-wide data strategy
- Exposure to cutting-edge AI and analytics initiatives
- Modern Microsoft technology stack
- Significant career progression opportunities
- Collaborative and innovative technology environment
If you’re passionate about building modern data platforms and want to play a key role in a major data transformation journey, we’d love to hear from you.
Senior Database Administrator (SQL) in Manchester employer: 167 Solutions Ltd
Join a forward-thinking global organisation that prioritises innovation and employee growth, offering a remote-first working model that allows you to balance your professional and personal life. As a Senior Data Engineer, you'll have the unique opportunity to shape enterprise-wide data strategies while working with cutting-edge technologies in a collaborative environment that fosters creativity and mentorship. With significant career progression opportunities and exposure to transformative AI and analytics initiatives, this role is perfect for those looking to make a meaningful impact in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Database Administrator (SQL) in Manchester
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We think you need these skills to ace Senior Database Administrator (SQL) 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!
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How to prepare for a job interview at 167 Solutions Ltd
✨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 167 Solutions Ltd!
✨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.
