Middle Data Analytics Engineer w Kraków, Polska is listed on Jobeax. Browse 110,000+ vacancies available.
#5764 We are looking for a Middle Data Analytics Engineer to build reusable, production-grade pipelines that power our data deals, which are large-scale curated training sets for leading AI labs. You’ll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies. Responsibilities: Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata. Map customer requirements to our existing metadata and apply data modelling practices to maximize reusability and scalability Build DBT models that are capable of querying up to 1B rows efficiently Refine DBT models based on visual QA to ensure accurate datasets at scale. Propose and implement automated solutions that streamline the curation process and increase scalability. Serve as the engineering point of contact, partnering with Business Development to ensure accurate timelines, clear requirements, and manage all technical implementation pieces of the workflow Assist the expansion of the data curation workflow to accommodate data science approaches within DBT, streamline the review process to ensure a more rigorous statistical approach with more comprehensive testing Requirements: Strong SQL background with an understanding of query optimization and Snowflake experience. DBT experience preferred. Great communication skills. 3-5 years of experience in analytics/data engineering. Perform code reviews and collaborate with the team to create an optimized ecosystem. Nice to have: BigQuery. Python. ClickHouse. Experience delivering projects in an operational environment. Interest in data science to aid the understanding of customer use cases. Interest in photography, music and video creation.
... tools like Azure DevOps and Git. Practical experience with Unity Catalog sharing and configurations. Nice to Haves: Background in consumer panel or tracking data. Experience with DAX in Power BI for complex analytics. Knowledge of Consumer Health or FMCG analytics. Familiarity with working with external data vendors and ...
... solutions that have a real impact on both our customers and our people. Location: Porto, Portugal or Warsaw, Poland Work regime: Hybrid The Job Role as Platform Engineer (Analytics, Data & AI): We are seeking an experienced DevOps Engineer/IT Engineer with strong experience in Azure services to join our team. The ideal candidate ...
... are able to advise on and apply state-of-the‑art analytics, machine learning and optimisation techniques in a manufacturing context. - You are experienced in data engineering for manufacturing data and in preparing datasets for predictive modelling , including data cleaning, feature engineering and data enrichment . - You ...
... reporting performance, and contributing to data governance. Position overview We are looking for a Data & Visualization Engineer with experience in Snowflake, SQL, data modeling, and BI tools. You will be involved in building data models, developing dashboards, supporting stakeholders, and improving analytics workflows across ...
... are able to advise on and apply state-of-the-art analytics, machine learning and optimisation techniques in a manufacturing context. - You are experienced in data engineering for manufacturing data and in preparing datasets for predictive modelling , including data cleaning, feature engineering and data enrichment . - You ...
... engagement Primary career focus on some or all areas of Data & Analytics: Cloud Data Platforms, BI, Data Warehousing, Data Lakes, Data Science & Predictive Analytics Experience managing medium to large-scale software/technology initiatives A keen interest in and passion for the Data & Analytics space Knowledge of Cloud, ...
... engagement Primary career focus on some or all areas of Data & Analytics: Cloud Data Platforms, BI, Data Warehousing, Data Lakes, Data Science & Predictive Analytics Experience managing medium to large-scale software/technology initiatives A keen interest in and passion for the Data & Analytics space Knowledge of Cloud, ...
... them into technical solutionsEnsure data quality, consistency, and performance optimization across reporting solutionsWork with modern data platforms such as Databricks for advanced data engineering and analytics use casesDevelop scripts and automation using Python for data processing and integration in Databricks environmentUse ...
... engagement Primary career focus on some or all areas of Data & Analytics: Cloud Data Platforms, BI, Data Warehousing, Data Lakes, Data Science & Predictive Analytics Experience managing medium to large-scale software/technology initiatives A keen interest in and passion for the Data & Analytics space Knowledge of Cloud, ...
... them into technical solutionsEnsure data quality, consistency, and performance optimization across reporting solutionsWork with modern data platforms such as Databricks for advanced data engineering and analytics use casesDevelop scripts and automation using Python for data processing and integration in Databricks environmentUse ...
... them into technical solutionsEnsure data quality, consistency, and performance optimization across reporting solutionsWork with modern data platforms such as Databricks for advanced data engineering and analytics use casesDevelop scripts and automation using Python for data processing and integration in Databricks environmentUse ...
... Business while working closely with global stakeholders and business leaders. Qualifications for the role - Bachelor's or Master's degree in Information Technology, Data Analytics, Business Administration, Engineering, or a related field. - 5+ years of experience leading analytics, data, IT services, or business intelligence teams ...
... requirements and translate them into effective data modelling https://jobeax.com/link/nGdefD578X04jN8a data profiling and analysis on relational and hierarchical data sources, including JSON and XML https://jobeax.com/link/d879mD0gLNBrNwo5 closely with data architects and engineers to ensure models support data transformation ...
... own the data backbone of our new Data & Insights module. It’s a brand new team, greenfield development, everything to play for. You’ll take raw transactional data from our clients and transform it into a high-performance analytics engine that powers real-time and analytical dashboards, making key architectural decisions ...
NIQ is seeking a Senior Data Scientist in the Data Science Methods team within the NIQ Product organization in Warsaw to help define and support development of new products and methods, focusing on innovation in data processing for retail measurement. You will prototype solutions and support pilot programs for R&D, conduct ...
Job Description The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources. Key Responsibilities: Assemble large complex data sets which meet functional ...
Job Description: Data Engineer, LDWH Migration Programme Level: Senior / Mid-Senior Main Responsibilities: Develop and maintain data pipelines using Azure Databricks. Implement ETL processes, ensuring data quality and integrity. Read and comprehend complex SQL stored procedures. Translate architecture direction into engineering ...
... Architecture: Implementing dbt models and Medallion patterns to enable trusted self-service analytics across global business units. Data Quality & Governance: Setting up data contracts, lineage tracking, and observability tools in a high-scale environment. AI & ML Readiness: Supporting feature engineering, pipeline reproducibility, ...
... połączeń z systemami poza ekosystem CRM • implementacja mechanizmów kontroli jakości oraz walidacji danych Wymagania • Minimum 4-6 lat doświadczenia na stanowisku Data Engineer, preferencyjnie w sektorze o dużej skali danych • doświadczenie w projektowaniu i modelowaniu struktur danych (hurtownie danych, DataLake-ów) na potrzeby ...