At a Glance
- Tasks: Build and maintain data processes for our SQL data warehouse using Azure tools.
- Company: Join Salix, a purpose-driven organisation focused on achieving net zero.
- Benefits: Competitive salary, flexible work arrangements, and a chance to make a real impact.
- Other info: Dynamic role with opportunities for growth and a commitment to diversity.
- Why this job: Shape data capabilities while contributing to a greener future.
- Qualifications: Experience in SQL, ETL/ELT pipelines, and cloud-based data engineering.
The predicted salary is between 41000 - 41000 £ per year.
Salary: £41,000 - 41,000 per year
Requirements:
- Advanced SQL and database administration experience
- Experience with Microsoft Azure Data Services and cloud-based data engineering best practices
- Experience developing and orchestrating ETL/ELT pipelines
- Experience with data modelling for analytics and reporting
- Experience with query optimisation and performance tuning
- Experience with testing and automation of data processes
- Experience working with Agile delivery methodologies
- Ability to write clear technical documentation and communicate effectively with non-technical audiences
- Python development experience is desirable
- Experience with NetSuite and Salesforce data structures is desirable
- Knowledge of public sector data protection and governance standards is desirable
Responsibilities:
- Build and maintain ingestion, transformation and load processes into our SQL data warehouse using tools such as Azure Data Factory
- Develop robust ETL/ELT pipelines working with APIs, databases and file-based data sources
- Design and maintain curated datasets, semantic layers and dimensional data models for reporting and analytics
- Optimise SQL queries and database performance
- Implement data quality checks, monitoring, lineage and observability processes
- Support data cataloguing, metadata management and governance practices
- Ensure data security through masking, anonymisation and adherence to GDPR and ISO27001-aligned standards
- Complete unit and integration testing to ensure reliable and accurate data outputs
- Collaborate effectively with technical and non-technical stakeholders to translate requirements into scalable solutions
Technologies:
- Azure Cloud
- CRM
- Data Warehouse
- ETL Support
- Python
- SQL
- Salesforce
- Security
We are Salix, a purpose-driven organisation that enables and inspires organisations to achieve net zero and create better places. We deliver and administer government funding schemes that improve energy efficiency, support clean power and help create warmer, healthier homes and resilient public buildings across the UK. We work with central government, local authorities, housing associations, universities, schools and hospitals, combining funding delivery with practical expertise and insight to turn ambition into real-world impact. This is a 12-month fixed-term Data Engineer role based in Manchester, with one day per week in the office. You will join our growing Data & Analytics team during a period of significant organisational growth and transformation, helping shape our data capability and supporting strategic initiatives including a historical data repository and preparation for a new CRM platform. We offer the opportunity to contribute to a greener future, and we welcome applications from people of all backgrounds as we are committed to diversity and inclusion. Successful candidates will be required to complete DBS and BPSS security checks.
Data Engineer in Manchester employer: Sivara GmbH
At Salix, we pride ourselves on being a purpose-driven employer that not only champions diversity and inclusion but also offers a collaborative work culture where your contributions directly impact the journey towards net zero. As a Data Engineer in Manchester, you'll enjoy a supportive environment with opportunities for professional growth, while working on meaningful projects that enhance energy efficiency and public well-being. With flexible working arrangements and a commitment to employee development, Salix is an excellent place to build a rewarding career.
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 Sivara GmbH!
✨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 Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Sivara GmbH, 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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
