At a Glance
- Tasks: Lead data migration projects, document architecture, and analyse data pipelines.
- Company: Dynamic data-driven organisation in London with a focus on innovation.
- Benefits: Competitive day rate, hybrid work, and high-impact projects.
- Other info: Autonomous role with exposure to complex data environments and future career growth.
- Why this job: Make a significant impact on a major data transformation programme.
- Qualifications: Experience in data migration, strong stakeholder management, and cloud platform knowledge.
We are currently looking for a Senior Business Data Migration Lead (Data Architecture & Discovery) to join a data-driven team on an initial 3-month contract focused on a critical discovery phase project. Reporting into senior business stakeholders, this person will play a key role in helping the organisation understand, document and future-proof a complex reporting and data infrastructure environment. The successful candidate will act as the bridge between commercial teams and technical data specialists, helping to untangle legacy data processes and define the roadmap for a future-state architecture. This is an ideal opportunity for a Migration Lead who enjoys working at the intersection of business, data and technology, combining stakeholder engagement with hands-on analysis of data pipelines, reporting systems and transformation logic.
The Opportunity
This assignment focuses on documenting the current data landscape, understanding business requirements and producing a clear blueprint for future delivery. Key responsibilities include:
- Mapping and documenting the current data architecture and reporting ecosystem
- Analysing existing Python and Apache Airflow data pipelines
- Tracing data flows from multiple partner data sources through Google Cloud environments into reporting platforms
- Reviewing and documenting transformation logic within PostgreSQL
- Working closely with commercial stakeholders to gather and define business requirements
- Assessing and rationalising complex taxonomy and mapping structures across multiple reporting domains
- Conducting audits of existing reporting logic and identifying gaps, risks and dependencies
- Producing clear technical and business documentation to support future migration and delivery activity
- Helping define the target-state architecture and delivery roadmap
This role offers the opportunity to make a significant impact on a high-profile data transformation programme, providing clarity and direction for future implementation phases.
What’s in it for you?
- Competitive day rate
- Hybrid working arrangement
- High-impact discovery and transformation project
- Opportunity to work across business and technical teams
- Exposure to complex cloud-based data architecture environments
- Autonomous role with significant stakeholder exposure
Skills & Experience
- Proven experience as a Migration Lead within data-focused environments
- Strong understanding of data architecture, data lineage and reporting ecosystems
- Experience documenting complex data flows and business processes
- Ability to work with technical teams to understand data pipelines and transformation logic
- Strong stakeholder management and requirements gathering experience
- Experience working with cloud-based data platforms
- Excellent documentation and communication skills
- Experience with Tableau and Power BI environments
- Knowledge of Google Cloud Platform (GCP)
- Familiarity with PostgreSQL, Python and Apache Airflow
- Experience within digital media, publishing, advertising technology or affiliate commerce environments
- Understanding of programmatic advertising and revenue reporting models
- Previous experience supporting data migration or modernisation programmes
Data Migration Lead employer: Data Science Festival
Join a forward-thinking organisation in London that values innovation and collaboration, offering a competitive day rate and a hybrid working arrangement. As a Data Migration Lead, you'll be part of a high-impact project that bridges business and technology, with ample opportunities for professional growth and exposure to complex cloud-based data architectures. The supportive work culture encourages autonomy while fostering strong stakeholder relationships, making it an ideal environment for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Lead
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Data Migration Lead
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Data Migration Lead at Data Science Festival, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Data Science Festival.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Data Science Festival
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
