Senior Data Engineer (Java/Scala, Spark, AWS) w… - Jobeax
Opis oferty
Senior Data Engineer (Java/Scala, Spark, AWS) w Warszawa, Polska
KontraktUmowa czasowa lub freelancing
$2k USD
Poland, Warszawa
Senior Data Engineer (Java/Scala, Spark, AWS) w Warszawa, Polska is listed on Jobeax. Browse 110,000+ vacancies available.
We are seeking a Senior Data Engineer to design, build, and maintain large-scale data pipelines and distributed processing systems that power AI-driven initiatives. In this role, you will leverage your expertise in AWS, Spark, and modern data architectures to deliver secure, scalable, and highly available data solutions supporting Gen AI and ML applications. Responsibilities Design, build, and maintain large-scale data pipelines and distributed processing systems using SparkDevelop and support data platforms that enable AI/ML and Generative AI applicationsArchitect and implement solutions within AWS cloud environments using cloud-native patternsBuild and optimize ETL/ELT workflows to support analytical and operational use casesImplement data modeling strategies aligned with modern data lakehouse architecturesEnsure data quality, governance, and monitoring across all data assetsDeliver secure, scalable, and highly available data solutions following operational best practicesCollaborate with cross-functional teams to support AI-driven business initiativesWrite advanced SQL queries and production-grade code in Java or Scala Requirements 5+ years of experience in Data Engineering with exposure to Gen AI/ML-based applicationsBackground in building and maintaining large-scale data pipelines and distributed processing systems using Spark with Java or ScalaFamiliarity with AI/ML, Generative AI, or data platforms supporting AI-driven initiativesExpertise in AWS cloud environments and cloud-native architecturesAdvanced proficiency in SQLSkills in data modeling and modern data lakehouse architecturesUnderstanding of data quality, governance, monitoring, and operational best practicesCompetency in building secure, scalable, and highly available data solutionsShowcase of ETL/ELT development experienceProficiency in English at an Upper-Intermediate level (B2) or higher Nice to have Hands-on experience with Databricks or Snowflake, with the ability to work across modern cloud-based data platforms (experience with both is advantageous)Background in Financial Services We offer We gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
We are looking for a Senior DevOps Engineer with a strong background in DevOps practices and tools who will contribute to the development, deployment, and maintenance of our infrastructure, with a focus on GitLab, Terraform, Jenkins, AWS cloud, Kubernetes/EKS, and Ansible. Responsibilities Develop, manage, and enhance CI/CD ...
... maintain, and enhance CI/CD pipelines that support both application and infrastructure deliveryBuild and maintain AWS cloud solutions centered on automation, scalability, security, and dependabilityOversee and improve infrastructure-as-code setups using tools like Terraform and AWS CloudFormationStreamline operational and ...
... (DXOne) and related tooling. This initiative focuses on migrating 20+ medium- and large-scale Java and .NET applications from enterprise on-premises data centers to AWS, involving a variety of migration strategies including Replatforming, Refactoring, and Rearchitecting. Responsibilities Design, build, and configure AWS and on-premises ...
... technical field 5+ years experience in software development with Big Data technologies Advanced knowledge of Python, Scala, or Java Proficient with Spark and Databricks and/or Snowflake Experience with cloud platforms such as Azure, Google Cloud Platform, Amazon Web Services Demonstrated experience with big data models, ...
Astek Polska sp. z o.o. poszukuje Data Engineera do pracy nad projektami dla sektora farmaceutycznego w Warszawie. Rola obejmuje projektowanie i rozwijanie skalowalnych architektur danych, tworzenie hurtowni danych i Data Lake, a także implementację złożonych procesów ETL/ELT w środowisku AWS. Wymagana jest praktyczna wiedza ...
... hiring reflects that. You might be a Python expert with an unparalleled depth of knowledge about financial derivatives risk and pricing. Or you might be a big data guru who writes beautiful Scala (or PySpark) on massive and complex datasets. Or you may be somewhere in-between. Either way you are the kind of person we want ...
The Opportunity Svitla Systems Inc. is looking for a Senior Java Engineer for a full-time position (40 hours per week) in Europe. Our client is a digital marketing company that offers email marketing, social media marketing, event marketing, and online survey tools to help organizations expand their businesses by fostering ...
We are seeking a Senior Java Engineer with exceptional expertise in distributed systems, real-time data processing, and cloud-native architectures to deliver highly scalable enterprise platforms in a high-throughput, mission-critical environment. Responsibilities Design and develop scalable Java-based backend solutions ...
... direction you want. Responsibilities Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST API, flat files, Streams, Time series data, SAP Research and utilize Data Software Engineering technologies for effective data ingestion Process and transform data using tools such as Spark, Databricks ...
A leading company specializes in developing cloud-based solutions for online grocery businesses, seeking a skilled developer proficient in Java and Python. The candidate will engage in various responsibilities, including software and data design, requirements analysis, and deployment of production-ready code while benefiting ...
We are looking for a Senior Data Engineer to support the design, development, and enhancement of our client’s enterprise data platform. The ideal candidate is a hands-on data engineer with strong experience building data pipelines, integrating data from operational databases, and working with modern cloud data warehouses. ...
... Team, see our office, and much more? Visit our website: Heineken ( The Senior Data Engineer is accountable for leading globally and collaborating with regional data engineering teams to design, deliver, and continuously improve high-quality, scalable, and reusable enterprise data products and services. These services form ...
... in a similar role - Hands-on experience with SQL, Databricks, Python (advanced) - Hands-on experience building scalable data pipelines, processing high-volume data in batch as well as stream for near real-time analytics - Hands-on usage of AI in engineering SDLC. - Experience with Big Data, Data Warehouse, and Data Lake ...
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. ...
... description For our client we are looking for an experienced Senior Data Engineer to join a project focused on building and developing scalable, cloud-based data solutions. Responsibilities Design, develop, and maintain scalable data pipelines. Build reusable and configurable Python modules. Work hands-on with AWS: Glue, ...
... 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, - swobodnie poruszasz się w SQL oraz jednym z języków programowania (Python/Scala), - potrafisz pracować samodzielnie w środowisku rozproszonym. ...
... Azure, Google Cloud Platform, AWS, Databricks, Apache Spark, PySpark, Apache Airflow, GitHub Actions, Terraform, Bicep About the project, At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including ...
Expected, Google Cloud Platform Data and Analytics, Python, dbt, Airflow, Terraform, GitHub Operating system, Windows About the project, We're looking for a senior Data Engineer who can step into an environment someone else built, work out how it really runs, and make it better. Most of our work is picking up existing platforms ...
... email, OpsGenie) Job requirements At least 5 years of commercial experience in data engineering. Code in Python (65% of tasks in the team) and JVM languages (Java, Kotlin, Scala; 35%). Know about Google Cloud Platform (BigQuery, Composer, Dataproc, Cloud Run) or other public cloud providers. Have a deep SQL and PySpark ...
Capgemini Poland seeks a data platform engineer to design and build scalable cloud-based data platforms. You will architect data pipelines, integrate diverse data sources, and collaborate with data scientists to operationalize ML models. Role requires hands-on cloud experience (AWS/Azure/GCP), strong SQL and programming ...