At a Glance
- Tasks: Design and deliver innovative data solutions using modern cloud platforms.
- Company: Join a leading consultancy with a focus on business transformation.
- Benefits: Enjoy hybrid working, 26 days holiday, and wellness support.
- Other info: Access 300+ courses for professional development and career growth.
- Why this job: Shape data strategies and make a real impact in client engagements.
- Qualifications: 4+ years in data engineering with strong Azure and SQL skills.
The predicted salary is between 60000 - 80000 € per year.
As a senior consultant in the Business Transformation team, you will design and deliver data solutions using modern cloud-based platforms and advise clients on their data landscape, shaping data strategies and roadmaps.
Key Responsibilities
- Facilitate requirements gathering workshops across business areas to agree objectives, use cases, and data needs.
- Support the development of data solutions that align initiatives to business objectives, balancing best practice ways of working with clients’ requirements.
- Provide guidance on data governance and strategies, including advising on recommended frameworks and policies to enable clients to increase their data maturity.
- Manage delivery across multiple workstreams and engagements, support junior team members, and apply structured engineering practices across the team.
- Design, build, and optimise end‑to‑end data pipelines (ingestion, transformation, orchestration) using SQL and Python, focusing on reliability, maintainability and performance.
- Participate in and lead client engagements, facilitating workshops, confirming objectives, and developing delivery plans and budgets.
Qualifications & Experience
- Strong understanding of Azure data services and integration systems (e.g., Azure Data Factory, Azure Data Lake) and how they complement Fabric/Databricks.
- Experience implementing platform security practices (secure connectivity to sources, secrets management, role‑based access concepts) aligned to client policies.
- Experience in formal data quality assessments and defining reconciliation approaches with business stakeholders.
- Client‑facing data engineering experience (3+ years) in a professional services environment, including leading requirements workshops with clients.
- Hands‑on engineering capability across Microsoft Fabric and Azure Databricks, with SQL and Python experience to design and build scalable data solutions; background in PySpark desirable.
- Experience in proposal writing and business development, supporting bids and client presentations.
- Relevant certifications (desirable): Azure Data Engineer / Fabric Data Engineer or Analytics Engineer, Databricks fundamentals.
- Strong academic record; preferably a relevant degree (computer science, software engineering, data engineering, data analytics, or information systems).
- Minimum of 4 years’ work experience, ideally within a professional services environment, delivering data engineering and/or data platform engagements.
- Understanding SQL Server Databases, SQL Server Integration Services (SSIS), Azure Data Resources, Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Analysis Services.
- Strong engineering practices: version control (Git), CI/CD for data and platform artefacts, and disciplined release management via Azure DevOps (ADO).
- Experience implementing data quality controls and validation checks, and producing clear documentation to support traceability, handover and adoption.
- Good communication and presentation skills, with the ability to explain complex ideas to non‑technical stakeholders.
- Effective project management skills and the ability to meet deadlines while working on multiple projects simultaneously.
- Create high‑quality, client‑facing document outputs.
- London‑based or willing to travel to London fortnightly.
Benefits
- Hybrid and flexible working.
- 26 days holiday, with optional additional days.
- Lifestyle, health, and wellbeing support, including financial wellbeing benefits, electric car scheme, and access to a virtual GP.
- Access to a suite of 300+ on‑demand courses developed by the in‑house Talent Development team.
Data Engineering - Senior Consultant in London employer: Energy Jobline CVL
As a Senior Consultant in Data Engineering at our London office, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer hybrid and flexible working arrangements, generous holiday allowances, and comprehensive wellbeing support, ensuring you have the resources to excel both personally and professionally. With access to over 300 on-demand courses for continuous learning and development, you'll find ample opportunities to grow your career while making a meaningful impact on our clients' data strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering - Senior Consultant in London
✨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 data engineering field. You never know who might have a lead on your dream job!
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving SQL, Python, and Azure services. This will give potential employers a clear view of your capabilities and how you can add value.
✨Ace the Interview
Prepare for your interviews by practising common questions and scenarios related to data engineering. Be ready to discuss your experience with Azure Data Factory and Databricks, and don’t forget to highlight your client-facing skills!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website to get the best chance at landing that senior consultant role. We’re excited to see what you bring to the table!
We think you need these skills to ace Data Engineering - Senior Consultant in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Consultant in Data Engineering. Highlight your experience with Azure data services and any relevant projects you've worked on that align with our needs.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that showcase your skills in data governance and client engagement.
Showcase Your Technical Skills:Don’t forget to highlight your hands-on experience with SQL, Python, and Azure tools. We want to see how you’ve designed and built data solutions in the past, so be specific about your contributions!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Energy Jobline CVL
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in Azure data services and integration systems like Azure Data Factory and Azure Databricks. Brush up on how these tools work together and be ready to discuss your hands-on experience with SQL and Python, as well as any projects where you've implemented these technologies.
✨Showcase Your Client Engagement Skills
Prepare examples of how you've facilitated requirements gathering workshops and led client engagements. Highlight your ability to communicate complex ideas to non-technical stakeholders, as this will demonstrate your client-facing experience and project management skills.
✨Demonstrate Your Engineering Practices
Be ready to talk about your experience with version control (like Git) and CI/CD processes for data solutions. Discuss how you’ve applied structured engineering practices in previous roles, especially in relation to data quality controls and validation checks.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in previous projects, particularly around data governance and strategy, and how you overcame them. This will show your critical thinking and adaptability in a professional services environment.
