At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.
We are looking for a Senior Digital Analytics Engineer to join us as part of our team.
About the role
The Digital Analytics Engineer will play a key role in managing and enhancing data tracking and analytics for a large-scale eCommerce platform. The role involves working with advanced analytics tools such as Adobe Experience Platform, Adobe Customer Journey Analytics (CJA), Adobe Target, and Adobe Journey Optimizer (CJO) to lead data-driven initiatives and deliver insights that improve customer journeys and overall platform performance.
The engineer will join a global company specializing in digital content and gift card solutions, whose ecosystem spans the full lifecycle of gift cards – from issuance and distribution to payment processing, exchange, and refilling. Beyond gift cards, the company offers a variety of digital products including eGifts, incentive cards, promotions, and rewards.
Team
The team currently consists of five members and is responsible for the entire web analytics domain – from data modeling and dashboard creation to customer engagement tracking, as well as A/B testing implementation and support.
Tech stack
HTML, JavaScript, Adobe Experience Platform, Adobe Target, Adobe CJA, Adobe Experience Manager, Adobe Commerce, Google Analytics, Microsoft Clarity
Work Environment
~40 h/week. Schedule is flexible, but with availability in the evening till 19:00 CET.
As a qualified expert You will
- Implement and evolve our customer‑data and experimentation stack across brands/regions: instrument web events (Adobe Web SDK/Tags or GTM), enforce clean data contracts.
- Configure AEP: design XDM schemas, datasets, and Data Prep mappings; set up identity namespaces and governance/consent labels.
- Enable CJA: build Data Connections and Data Views; define metrics/dimensions, session logic, and attribution; publish Analysis Workspace projects for stakeholders.
- Support Adobe Target experimentation: create A/B, XT, and AP activities; define success metrics and guardrails; own QA and post‑test readouts.
- Ensure coexistence of multiple measurement stacks with clean event contracts, shared KPI definitions, and tenant-level standards.
- Design, implement, and maintain dashboards for performance analysis.
- Collaborate with marketing and product teams to align tracking strategies with business goals.
- Collaborate with engineering, operations, and security teams to ensure that the platform is scalable, reliable, and secure.
We’re looking for you if you have
- 4+ years in analytics/data engineering or digital analytics implementation for web products.
- Experience with one or more modern analytics/CDP stacks (e.g., GA4, Adobe Analytics, Segment/mParticle/Tealium/RudderStack, Mixpanel/Amplitude).
- Proficiency in tag management implementation and tag QA/debugging on Adobe Tags (Launch) or GTM (triggers, variables, dataLayer standards, preview/debug tools).
- Experience in data engineering, data processing, data modeling
- Strong event data modeling: users vs. sessions, deduplication, attribution/lookback windows.
- SQL proficiency for building metrics, QA checks, and data validations.
- Hands-on A/B testing on any platform, including metrics and guardrails.
- Solid JavaScript fundamentals for instrumentation and simple transformation scripts.
- Excellent problem-solving skills and attention to details
- Ability to analyze complex systems, fast learning
- High level of personal responsibility and ownership
- Proactivity in work communication and self-management
- Passion for using AI tools to boost the own work productivity
- English – Upper-Intermediate or higher
Bonus Points
- Adobe AEP (XDM, Data Lake basics, Identity, Web SDK/Tags)
- Adobe CJA (Connections, Data Views, Analysis Workspace).
- Adobe Target (A/B, XT, AP) including QA practices and experiment readouts.
- E-commerce domain depth (catalog, promotions, purchase funnel, UTM/affiliate flows).
- Multi‑tenant/white‑label experience (brand/locale overrides, feature flags, per‑region consent).
- Python for automation (data QA, small ETL/ELT helpers, CI checks).
- Experience in visualization of data insights and building dashboards (Looker/Tableau/Power BI) or Adobe/GA4 BigQuery experience.
- Privacy & governance: consent frameworks (e.g., IAB TCF), PII handling, data usage labels.
What’s in it for You
Reveal great tech solutions
Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.
Experience an agile and flexible working environment
Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work.
Embrace the opportunity for personal and professional growth
Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more.
Be among like-minded people
Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program.
Interview steps
- Pre-Screening with the recruiter (up to 30 min)
- Tech-Interview (up to 1.5 hours)
- Interview with manager (up to 30 min)
- Client interview (up to 1 hour)
