Analytics Engineer BI Developer at MWDN

Kyiv, , Ukraine -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

0.0

Posted On

18 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics engineering, BI development, Data engineering, SQL, Snowflake, BigQuery, Redshift, Synapse, dbt, Power BI, Looker, Tableau, Dimensional modeling, Python, Agile, Data pipelines

Industry

IT Services and IT Consulting

Description

MWDN is an international recruitment and outstaffing company with 23+ years of experience connecting exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. In this role, MWDN acts as the recruitment partner, and the selected candidate will work directly with the client’s team on their product in an international environment. Why does MWDN rock? Here’s what you can expect when you join MWDN: Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments—no fraud or unpleasant surprises. Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals. Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes. Professional development: We offer English courses and professional growth opportunities, as well as team-building events. Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU. What is your new project? Domain: AI Consulting Client Location: US Company size: up to 10 people Founded in: 2020 What makes this project exciting? Join a forward-thinking consulting environment that helps companies scale through modern cloud, data, and AI-driven solutions. The team partners with organizations across industries to design and implement robust, multi-cloud architectures, combining deep infrastructure expertise with advanced data platforms. Built for complex, real-world challenges, the approach focuses on turning fragmented systems into scalable, high-performing ecosystems. From enabling seamless cross-cloud operations to supporting data pipelines and analytics, you’ll help drive solutions that power smarter decision-making and long-term growth. What makes you a great fit 4+ years in analytics engineering, BI development, or data engineering roles spanning both transformation and visualization layers Strong SQL proficiency and hands-on experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Synapse, or equivalent) Hands-on dbt experience (Core or Cloud) or equivalent transformation framework Proficiency with at least one major BI tool - Power BI, Looker, Tableau, or equivalent - including semantic/data model configuration Understanding of dimensional modeling and semantic layer design Ability to translate business requirements into data models and visualizations without heavy hand-holding Experience working in agile delivery environments Strong written English for documentation, metric definitions, and async communication Preferred Experience with headless BI or semantic layer tools (Cube, Metriql, dbt Semantic Layer) Python skills for custom transformation logic or data pipeline scripting Exposure to multiple cloud platforms Experience designing self-service analytics environments for non-technical end users Multi-industry background - analytics patterns vary significantly by vertical Your day-to-day in this position Design and implement data transformation pipelines and semantic data models using dbt or equivalent frameworks Build and maintain data marts, aggregated layers, and consumption-ready datasets aligned to project and stakeholder requirements Develop dashboards, reports, and self-service analytics environments using modern BI tooling (Power BI, Looker, Tableau, or equivalent) Define and implement a semantic layer that bridges technical data models and business-friendly metrics Collaborate with the Senior Analytics & Data Engineer on transformation layer design and integration patterns Document data lineage, business metric definitions, data dictionaries, and dashboard logic consistently Implement data validation checks within transformation pipelines and work with the DataOps Engineer on quality automation Participate in agile ceremonies across Scrum and Kanban workstreams Use AI-assisted tools to accelerate model development, documentation, dashboard scaffolding, and query optimization Why work with us? People-first management with minimal bureaucracy A friendly company culture, proven by employees who choose to return Flexible working hours Full financial and legal support for independent contractors Free English classes, with native speakers or Ukrainian teachers Dedicated HR support Our next steps ✅ Intro call with a Recruiter — ✅ HR interview with the client — ✅ Tech interview — ✅ Home assignment — ✅ Final client interview— ✅ Offer Requirements null

Responsibilities

Design and implement data transformation pipelines and semantic data models using dbt or equivalent frameworks. Develop dashboards, reports, and self-service analytics environments using modern BI tools while collaborating on data quality and lineage documentation.