Data Engineer - Palantir Foundry

Madrid

Job Description: Ever wondered what kind of a systems is running when you're using your debit or credit card? Or which environment is running behind a 24x7x365 setup with no downtime even for major upgrades? Are you a database engineer with experience in Oracle? Diagnostic and Performance Tuning are your daily bread and butter? Then we're looking for you! Our international team is responsible for the engineering and operations of database technologies like Oracle, MySQL, PostgreSQL, IBM Db2, Sybase and MS SQL Server. As DevOps/EngOps engineer we're taking the end-to-end ownership for our services. From engineering and automation, operation up to the 3rd level support. As part of the team, you will have the opportunity to lead technical projects, evaluate new solutions, bringing ideas for improvement, programming self-service capabilities and much more. Our motivated and open communicated team is looking for you to build up a high sophisticated environment. Your opinion counts and the team is supporting you in every step. Flexible working times, a lot of possibilities for further trainings and much more is waiting for you. Don't hesitate and apply now with your CV in English. What You Will Do Engineering, optimization and maintenance of our Oracle DBMS environment Consulting our internal customers in solution design topics Programming and automation of maintenance jobs and self-service capabilities 3rd level support and performance tuning On call duty service (approximately 1 week every two months) What You Bring Technical studies or bachelor related with IT area A minimum of 2 years of experience in Oracle Databases with ASM, RAC and Data Guard. Any 1st experience working in critical environment will be highly valued Ideally programming skills in Ansible and Python Knowledge in PostgreSQL, MySQL or IBM DB2 LUW is an advantage Open-minded approach, keen on listening and understanding different ways of thinking, communicative and team oriented personality with a continuous learning mindset Fluent in English (both verbal and writing) to interact with your international colleagues What We Offer Hybrid model up to 60% working from home 37,5 hours/week with flexible schedule and 29+2 holidays Daily meal allowance Additional Medical Insurance for employee and family Pension fund Access to technical and language learning platforms Free parking spots, charger spots and shuttle bus (only for Las Rozas - Madrid location)

Madrid

En Krell Consulting, nos encontramos en la búsqueda de un Data Engineer, con experiencia en Snowflake, para trabajar en nuestro equipo, en modalidad remota 100%. PERFIL: Data Engineer (Snowflake SECTOR: Industria MODALIDAD DE TRABAJO: Remoto 100% Requerido: Perfil de ingeniería de datos con al menos 3 a 5 años de experiencia en el desarrollo de soluciones de ingeniería de datos, con una buena orientación a cliente y capacitado para liderar equipos. Imprescindible experiencia en Snowflake (Best Practices, optimización de rendimiento y costes. Importante no nos sirven candidatos que hayan hecho una formación de Snowflake, necesitamos que tengan bastante experiencia de mas de 3 a 4 años trabajando con snowflake. Deseable experiencia con DBT. Deseable conocimiento en el stack AWS de ingeniería (Glue, AppFlow, Athena, S3... Buen nivel de Python y SQL. BBDD relacionales y no Relacionales Ofrecemos: Contrato indefinido/ Contratación inicial con Krell. Si estás interesad@ y cumples con los requisitos, no dudes en aplicar a la posición. ¡Esperamos recibir tu solicitud!

Catalonia, Madrid

Buscamos un Desarrollador Python. Requisitos: Python Definición de funciones. Librerías de tratamiento de datos. MySQL Consultas sencillas y tratamiento de datos básico. JavaScript, HTML y CSS Conocimientos de machine learning. Ofrecemos: Plan de formación y acompañamiento continuo. Funciones variadas, diversidad de proyectos, de clientes. Jornada completa. Free coffee.

Madrid

Job description: We are looking for an engineer for the Data Science Platform (DSP) team within the central IT application and platform department of SIX. In this role, you will be a part of a cross-functional team and responsible for designing, implementing, and consulting on public cloud data science platform services. What You Will Do Be a part of an international team that designs and develops a mature Azure cloud based SIX data science platform. Manage lifecycle of the DSP which is offered as a service towards internal stakeholders by maintaining and developing its infrastructure and supporting features from ETL, machine learning, AI and reporting Act as a SIX internal DSP data engineer to offer consultancy to discover, onboard and deliver new use cases Closely collaborate with key stakeholders from business data science teams and other IT data engineering teams to enable them on the DSP What You Bring minimum five (5) years of practical experience with building Data Pipelines and Data Infrastructure on Public Cloud (preferably Microsoft Azure and/or Amazon Web Services, Google Cloud Platform) multiple years of experience with Spark based data processing environments (preferably Databricks) strong software development skills with proficiency in Python and SQL (Java and Bash are a plus) and familiarity with Linux systems. competence in CI/CD and automation to build system critical data platform infrastructure and applications on public Cloud hands-on experience large scale Infrastructure as Code (IaC) deployments, preferably using Terraform/ Open Tofu and basic knowledge of cloud foundation services (networking, security, storage and IAM) strong customer focus, open-minded, proactive attitude, and experience in working in highly regulated environments. Excellent written and verbal communication skills in English What We Offer Hybrid model up to 60% working from home 37,5 hours/week with flexible schedule and 29+2 holidays Daily meal allowance Additional Medical Insurance for employee and family Pension fund Access to technical and language learning platforms Free parking spots, charger spots and shuttle bus (only for Las Rozas - Madrid location)