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- Aufgaben: Lead data initiatives, modernize the data stack, and drive business impact.
- Arbeitgeber: Join a dynamic Series A startup focused on innovative cloud solutions for software development.
- Mitarbeitervorteile: Enjoy 30 days paid vacation, flexible hours, and an educational budget of €1800 per year.
- Warum dieser Job: Shape data strategy in a culture that values ownership and collaboration with key stakeholders.
- Gewünschte Qualifikationen: Experience in fast-growing startups, owning data functions, and using modern data tools like BigQuery.
- Andere Informationen: This role is fully remote but limited to candidates residing in Germany.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
Direct message the job poster from Strativ Group
Role: Data Lead (Hands on and Business/Strategy focused) – Growth Team
Location: Fully Remote. Can only hire folk who live in Germany
Does working in a data-driven, Series A company where you would work directly with the COO & drive the business forward via data sound exciting? Are you truly connected to business outcomes, but love being hands on with a small team? Enjoy working across the full data stack? Then read on….
You would join a series A CDE who have created a cloud based solution to help technical folk create software more efficiently. Having just launched a new product, your work closely with engineering, sales and customer experience to shape ensure the full data-stack, infrastructure, and insights are fit for purpose, to drive business impact, GTM Strategy and Operational Efficiency.
The business culture thrives on ownership, so you have the opportunity to shape the data strategy + architecture, advance data maturity and grow with the business.
The role:
- Focus on a full audit of the data stack, with the view to modernise and implement quick wins
- Own Data Ingestion, Warehousing, Analytics & Visualisation with scalability, reliability + cost efficiency in mind
- Add onto self service analytics capabilities
- Data Eng Best Practises – Monitoring, Testing, Disaster Recovery, Documentation + make them scalable + reusable
- Work with GTM to track customer behaviour and lead enrichment pipelines to ensure insights are in the right places
Stack they work with: BigQuery, DBT, Segment, Prefect, Census, Mixpanel, Hex, Metabase
Yourself:
- Experience being an initial owner of a data function , in a fast-growing startup or scale-up environment
- Owned Product Data in a SAAS or Similar Environment
- Built or significantly evolved data platforms that directly supported business growth
- Track record of successfully wearing multiple hats across the data stack – from data engineering to analytics.
- Experience with modern data stack tools like dbt, Prefect, Census / other orchestration and reverse ETL tools, modern warehouses (ideally BigQuery )
- Background working with product analytics and data from multiple other first/third party data sources, experience building up a customer data platform
- Evidence of stakeholder collaboration and business impact – driving business outcomes, team enablement, or improved decision-making processes
Benefits:
- 30 days paid vacation + public holidays
- Flexible working hours – work in your productivity hours
- Annual company retreats
- Sports, Health and Well-being Stipend
- Educational Budget (€1800 per year)
- Health Insurance
- Extended paid parental leave for all parents
If you are connected to business outcomes and can demonstrate you have significantly evolved a data function of a SaaS business, please email me directly with your CV to – there have been a lot of applications for the role.
Note – this role is not suited for folk heavily focused on Data Governance, Financial data etc. This is more focused on business growth.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Industries: Software Development
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Lead Data Engineer Arbeitgeber: Strativ Group
Kontaktperson:
Strativ Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Lead Data Engineer
✨Tip Number 1
Reach out directly to the job poster via direct message. This shows your enthusiasm for the role and gives you a chance to make a personal connection, which can set you apart from other candidates.
✨Tip Number 2
Highlight your experience with the specific tools mentioned in the job description, like BigQuery and dbt, during any conversations or interviews. Being able to discuss your hands-on experience with these tools will demonstrate your fit for the role.
✨Tip Number 3
Prepare to discuss how you've driven business outcomes through data in your previous roles. Be ready with specific examples that showcase your ability to connect data strategies with business growth.
✨Tip Number 4
Familiarize yourself with the company's product and its impact on the market. Showing that you understand their mission and how your role as a Lead Data Engineer can contribute to their success will make a strong impression.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Lead Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully grasp the responsibilities and expectations of the Lead Data Engineer position. Highlight your experience with data engineering, analytics, and how you've contributed to business growth in previous roles.
Tailor Your CV: Customize your CV to reflect your relevant experience with the modern data stack tools mentioned in the job description, such as BigQuery, DBT, and others. Emphasize your hands-on experience and any leadership roles you've held in data functions.
Craft a Compelling Cover Letter: Write a cover letter that connects your past experiences directly to the company's needs. Discuss how you've driven business outcomes through data and your approach to modernizing data stacks.
Showcase Collaboration Skills: In your application, provide examples of how you've collaborated with stakeholders to drive business impact. This could include specific projects where your data insights led to improved decision-making or operational efficiency.
Wie du dich auf ein Vorstellungsgespräch bei Strativ Group vorbereitest
✨Show Your Business Acumen
Make sure to highlight your understanding of how data impacts business outcomes. Be prepared to discuss specific examples where your data initiatives have driven growth or improved decision-making in previous roles.
✨Demonstrate Technical Proficiency
Familiarize yourself with the tools mentioned in the job description, such as BigQuery, DBT, and Prefect. Be ready to discuss your hands-on experience with these technologies and how you've used them to solve real-world problems.
✨Emphasize Collaboration Skills
Since the role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated with engineering, sales, or customer experience teams in the past to achieve common goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and strategic thinking. Think of scenarios where you had to modernize a data stack or implement quick wins, and be ready to explain your thought process and the outcomes.
