Accesa
Senior Analytics Engineer
Remote role where the employee must remain based in a particular country.
Romania only
Employer listed it 6 weeks ago · Added yesterday
Been open since 6 weeks ago, still checked daily, but it has been live a while.
Salary
Not stated
Location
Romania only
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Romania. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Employees can work remotely, , Romania, Employees can work remotely, ro, Remote"
What Nomaders makes of it
- Residency required in Romania
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Company Description 
Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth.
A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions.
With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community.
We are hiring for a major customer and looking for a Senior Analytics Engineer to join a large-scale data platform modernization initiative in the Google Cloud ecosystem, supporting the migration of enterprise data warehouse workloads from Teradata to BigQuery. In this role, you will discover and manage the central Common Data Model (CDM) hub, support the creation of new data spokes for consuming teams, and build a deep understanding of the data model and business KPIs to ensure they are implemented consistently and used correctly across the platform.
Responsibilities  
Build and maintain data pipelines: Design, develop, and optimize scalable data transformation pipelines in BigQuery using Dataform and SQL, ensuring reliability and performance.
Drive data warehouse migration: Support the transition from Teradata to BigQuery by analyzing, translating, and validating existing data models and logic.
Own the Common Data Model: Discover, document, and manage the CDM hub, ensuring consistency, governance, and seamless data consumption across teams.
Enable data platform adoption: Support the onboarding of new CDM consumers, providing guidance on data model usage and integration best practices.
Align data with business goals: Analyze business KPIs and ensure their definitions, calculations, and usage are accurately reflected in the data model.
Act as a data model expert: Maintain deep knowledge of data structures, lineage, and semantics, serving as a key reference point for stakeholders.
Ensure data quality and trust: Drive testing, validation, and reconciliation activities across Teradata and BigQuery environments to guarantee data accuracy.
Optimize platform performance: Improve BigQuery workloads for performance, cost efficiency, and long-term maintainability.
Promote engineering standards: Contribute to documentation, modeling standards, and best practices that strengthen the overall data platform.
Collaborate across teams: Partner with engineers, analysts, architects, and business stakeholders to deliver trusted and well-understood data products.
Must Have
Professional experience as an Analytics Engineer, Data Engineer, or BI Engineer, with a senior level of ownership and autonomy.
Strong, hands-on SQL expertise, including complex transformations, analytical queries, and performance optimization.
Practical experience with Google Cloud Platform, in particular BigQuery.
Hands-on experience with Dataform (or a similar SQL-based transformation framework such as dbt, with the willingness to work with Dataform).
Solid understanding of data modeling concepts (dimensional modeling, layered architectures, hub-and-spoke / common data model approaches).
Ability to understand business KPIs and translate their definitions and usage into correct, maintainable data model implementations.
Experience ensuring data quality through testing, validation, and reconciliation of datasets.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Accesa, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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