At a Glance
- Tasks: Design and implement scalable data solutions in a dynamic consultancy environment.
- Company: Join a growing digital consultancy focused on user-centred solutions.
- Benefits: Enjoy flexible working, generous leave, and comprehensive health benefits.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact by enabling organisations to leverage their data effectively.
- Qualifications: Strong Python skills and experience with cloud technologies like AWS and Snowflake.
The predicted salary is between 50000 - 65000 € per year.
Our client is seeking a Senior Data Engineer to join a growing digital consultancy delivering scalable, user-centred digital solutions across public and private sector environments. This role is ideal for an experienced data engineering professional who thrives in multidisciplinary teams and enjoys designing and implementing modern, cloud-based data platforms. The successful candidate will play a key role in building secure, scalable, and high-performing data solutions that enable organisations to make evidence-based decisions and maximise the value of their data. The role combines hands-on engineering expertise with technical leadership, stakeholder engagement, mentoring responsibilities, and contribution to wider engineering best practices.
Location: Manchester, United Kingdom
Working Pattern: Hybrid and flexible working available. Travel to client or office locations may occasionally be required.
Responsibilities:
- Acting as a subject matter expert within multidisciplinary delivery teams
- Designing, building, and implementing scalable data engineering solutions
- Supporting the development of modern data architectures including Data Lakes, Data Warehouses, Data Meshes, and event-driven systems
- Developing and optimising data pipelines and data flows between operational and analytics systems
- Building solutions that support business intelligence, reporting, and insight generation
- Re-engineering and optimising existing code and data processes for performance and scalability
- Working with cloud-native technologies and distributed computing systems
- Producing dashboards, insights, and reporting solutions
- Collaborating with architects, engineers, analysts, and stakeholders to deliver user-centred outcomes
- Contributing to recruitment, onboarding, mentoring, and capability development initiatives
- Promoting engineering capability through workshops, blogs, events, or technical community engagement
Requirements:
- Strong expertise in Python
- Proven experience with Snowflake, dbt, AWS, and Terraform
- Strong understanding of cloud architectures and distributed systems
- Experience designing and implementing Data Lakes, Data Warehouses, and Data Mesh architectures
- Experience working with SQL, NoSQL, and Graph databases
- Experience processing and managing large datasets
- Strong understanding of data modelling and normalisation concepts
- Experience delivering infrastructure across modern data platforms such as Snowflake, Redshift, Databricks, Elastic, Splunk, or similar
- Strong experience with log processing and observability tooling
- Experience creating dashboards and insight delivery solutions
- Strong knowledge of regular expressions, JSON parsing, and data transformation techniques
- Awareness of core security best practices including OAuth, MFA, and TLS
- Strong communication, collaboration, and stakeholder engagement skills
- Experience working within multidisciplinary or agile delivery teams
- Experience with R, Bash, Java, .NET, or PowerShell
- Experience mentoring or supporting other engineers
- Consultancy or client-facing experience
- Experience contributing to technical communities or knowledge sharing initiatives
Diversity & Inclusion: Our client is committed to creating a diverse, equitable, and inclusive workplace where all employees can thrive. Applications are encouraged from candidates of all backgrounds, including underrepresented groups. The organisation is committed to providing an accessible recruitment process and reasonable adjustments where required.
Salary & Benefits:
- Contributory pension scheme
- 25 days annual leave plus public holidays
- Flexible benefits package
- Private healthcare and dental options
- Life assurance and critical illness cover
- Volunteer days and wellbeing initiatives
- Cycle-to-work and electric vehicle salary sacrifice schemes
- Learning and development support
- Relocation assistance available
- Flexible and hybrid working arrangements
Senior Data Engineer in Manchester employer: DiverseJobsMatter
Our client is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Manchester. With a strong commitment to employee growth, they provide extensive learning and development support, alongside flexible working arrangements that promote work-life balance. The organisation values diversity and inclusion, ensuring that all employees can thrive while contributing to impactful digital solutions across various sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects or contributions to open-source work. This gives potential employers a tangible sense of your capabilities and how you can add value to their team.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data engineering. Be ready to discuss your past experiences and how they relate to the role. Remember, it’s not just about technical skills; they want to see how you fit into their culture too!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in Python, cloud architectures, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your experience aligns with our mission. Don't forget to mention your experience with Snowflake, AWS, and any mentoring roles you've had.
Showcase Your Projects:If you've worked on any cool data engineering projects, make sure to include them in your application. Whether it's building data lakes or optimising data pipelines, we love seeing real-world examples of your work and how you've tackled challenges.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at DiverseJobsMatter
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Snowflake, and AWS. Brush up on your knowledge of cloud architectures and distributed systems, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and implemented scalable data solutions. Think about challenges you faced and how you overcame them, especially in multidisciplinary teams. This will demonstrate your hands-on experience and ability to collaborate effectively.
✨Engage with Stakeholders
Since this role involves stakeholder engagement, be ready to talk about your experience in this area. Share examples of how you’ve communicated complex data concepts to non-technical stakeholders and how you’ve gathered requirements to deliver user-centred outcomes.
✨Emphasise Mentoring Experience
Highlight any mentoring or leadership roles you've had, especially in engineering contexts. Discuss how you’ve contributed to the development of others and promoted best practices within your team, as this aligns with the responsibilities of the role.
