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.
... 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 ...
... 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 ...
... 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 ...
... 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, ...
... roli Data Engineer lub podobnej. Doświadczenie komercyjne w pracy w środowisku AWS oraz technologiami Spark, Python i SQL. Praktyczna znajomość architektury Data Mesh oraz rozwiązań do przetwarzania dużych zbiorów danych. Doświadczenie w budowie skalowalnych i wysokowydajnych rozwiązań data engineeringowych w środowisku ...
The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, ...
... procedures to automate processes. Testing data quality. Work with analytics and business teams to understand requirements, develop appropriate solutions, and deliver data in the right format and at the right time. Develop and maintain documentation on data infrastructure, ETL/ELT processes, database schemas and other aspects related ...
Middle Mile Specialist Lokalizacja: Sosnowiec, Śląskie, PL, 41-208 Dział: Allegro sp. z o.o. Zespół: Delivery Experience Rodzaj umowy: Pracownik Na czym polegać będzie Twoja praca? - Planowanie i monitorowanie realizacji tras transportu zgodnie z harmonogramem i zapotrzebowaniem. - Analiza wskaźników transportowych (KPI) ...
... Infrastructure Data Engineer. Lokalizacja: praca w modelu hybrydowym 6 dni na miesiąc z biura w Krakowie Współpraca: B2B O projekcie Zespół Cybersecurity Sciences & Analytics odpowiada za budowę i rozwój strategicznego data lake’a oraz platformy analitycznej wspierającej bezpieczeństwo organizacji na skalę globalną. Zakres obowiązków ...
Contract type: B2B Rate: no fixed rate, dependent on candidate’s experience Mode: 100% remote from Poland We are looking for a Senior Data & Infrastructure Automation Engineer with strong expertise in AWS, Matillion, DataOps, and Infrastructure as Code to design, build, and scale highly automated data platform solutions. ...
... beginning. With Hiberus, you can build a long-term career. Opis stanowiska Dla naszego klienta szukamy doświadczonego Senior Data Engineera do projektu z obszaru data engineering, skoncentrowanego na budowie i rozwoju skalowalnych rozwiązań chmurowych. Główne obowiązki : Projektowanie, rozwój i utrzymanie skalowalnych data ...
... min. B2+ , - stawka do 170 zł/h przy B2B w zależności od doświadczenia. Ta oferta jest dla Ciebie, jeśli: - posiadasz doświadczenie komercyjne na stanowisku Data Engineer, - pracowałeś z chmurą publiczną (AWS i/lub GCP i/lub Azure), - masz praktyczne doświadczenie z Apache Airflow, - znasz Databricks i ekosystem Spark, ...
... implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments., Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy., Driving best practices in data engineering: quality assurance, lineage, ...