[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"vacancy-middle-dataops-engineer-databricks-aws-88723":3},{"statusCode":4,"vacancy":5,"roleSummary":27,"metaData":36,"schemaJobPosting":40,"vacancyBannerPath":54,"previousPagePath":25,"referralPagePath":55,"saveFormRoute":56,"loginPath":57,"isPmVacancy":24,"isBaVacancy":24,"webConfiguration":58,"vacancySource":62,"maxFileSize":74,"metaImg":75,"captchaSiteKey":76,"linkedinConfig":77,"languages":81},200,{"id":6,"name":7,"crmId":8,"description":9,"shownOnSiteEqualOpportunityEmployerDescription":10,"equalOpportunityEmployerDescription":11,"direction":12,"level":13,"city":16,"referralProgram":10,"linkedinTags":18,"tags":20,"shownOnSiteLeadershipDescription":24,"leadershipDescription":25,"shownOnSiteWeOffer":10,"weOfferDescription":26},88723,"Middle DataOps Engineer (Databricks + AWS)",101117,"\u003Ch2>\u003Cspan style=\"font-size:14px;font-family:'Segoe UI';\">ABOUT THE ROLE\u003C\u002Fspan>\u003C\u002Fh2>\u003Cp>In this role, you will join SoftServe as a mid-level DataOps Support Engineer, owning the reliability, scalability, and governance of a Databricks-based data platform. You will be responsible for operating data pipelines, ensuring data quality, and managing the cloud infrastructure that supports them. This position combines data engineering, platform operations, and DevOps practices in a fast-paced environment. The role follows a shifted schedule from 14:00 to 22:00 (Polish time), Monday to Friday.\u003C\u002Fp>\u003Ch2>RESPONSIBILITIES\u003C\u002Fh2>\u003Cul>\u003Cli>Build, maintain, and operate data pipelines on Databricks, including Spark jobs, DLT workflows, and streaming workloads\u003C\u002Fli>\u003Cli>Troubleshoot and resolve production issues using Spark UI, query plans, AQE analysis, and cluster diagnostics\u003C\u002Fli>\u003Cli>Manage AWS cloud infrastructure, including VPC, S3, IAM, and monitoring tools\u003C\u002Fli>\u003Cli>Configure alerting systems, support incident response, and participate in operational activities\u003C\u002Fli>\u003Cli>Optimise Databricks compute resources, including cluster policies, autoscaling, SQL Warehouse configuration, and performance tuning\u003C\u002Fli>\u003Cli>Develop and maintain ETL\u002FELT pipelines following established data modeling practices\u003C\u002Fli>\u003Cli>Ensure data quality standards and maintain data lineage across the platform\u003C\u002Fli>\u003Cli>Manage infrastructure as code using the Databricks Terraform provider, including workspace provisioning and networking\u003C\u002Fli>\u003Cli>Maintain release and rollback processes, contribute to branching strategies, and participate in PR reviews\u003C\u002Fli>\u003Cli>Administer Databricks workspace, including access control, secrets management, and audit logging using system tables and AWS CloudTrail\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>REQUIREMENTS\u003C\u002Fh2>\u003Cul>\u003Cli>2+ years of experience in data engineering or DevOps roles\u003C\u002Fli>\u003Cli>Strong proficiency in Python, PySpark, and SQL\u003C\u002Fli>\u003Cli>Hands-on experience with Databricks, including pipeline development, cluster management, Unity Catalog, and DLT orchestration\u003C\u002Fli>\u003Cli>Understanding of Delta Lake internals and structured streaming concepts such as checkpointing, watermarking, and trigger modes\u003C\u002Fli>\u003Cli>Experience with ETL\u002FELT data modeling techniques, including star schema and slowly changing dimensions\u003C\u002Fli>\u003Cli>Practical experience with Terraform, including module design, state management, and infrastructure governance\u003C\u002Fli>\u003Cli>Working knowledge of AWS services such as VPC, S3, IAM, CloudWatch, CloudTrail, and KMS\u003C\u002Fli>\u003Cli>Ability to analyse Spark UI query plans and resolve performance issues beyond basic optimizations\u003C\u002Fli>\u003Cli>Availability to work afternoon\u002Fevening hours (14:00–22:00 Polish time, Monday to Friday)\u003C\u002Fli>\u003Cli>Strong communication skills and ability to collaborate across cross-functional teams\u003C\u002Fli>\u003Cli>English proficiency at least at Upper-Intermediate level\u003C\u002Fli>\u003Cli>Relevant Databricks or AWS certifications are a plus\u003C\u002Fli>\u003C\u002Ful>",true,"\u003Cp style=\"text-align: justify;\">\u003Cem>SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.\u003C\u002Fem>\u003C\u002Fp>","Engineering & Technology",{"id":14,"name":15},2,"Middle",[17],"Poland",[19],"#LI-Remote",[21],{"id":22,"name":23},"remote","Remote\u002FOffice",false,null,"\u003Cdiv class=\"wrapper\">\n    \u003Csection class=\"section-about-us\">\n        \u003Cdiv class=\"about-us\">\n            \u003Cdiv class=\"about-us__content\">\n                \u003Cdiv class=\"about-us__text\">\n                    \u003Ch2>About us\u003C\u002Fh2>\n                    \u003Cp>\n                        We are a digital engineering and technology consulting company where expertise grows alongside\n                        people. For more than 30\n                        years, we have been elevating technology: helping organizations navigate complex business\n                        challenges by combining deep\n                        engineering knowledge with thoughtful, research-backed innovation. Our teams work across key\n                        areas: digital\n                        engineering, data and analytics, Сloud, and AI\u002FML. In each, we deliver practical, scalable\n                        solutions rooted in real\n                        business needs and measurable human impact.\n                    \u003C\u002Fp>\n                    \u003Cp>\n                        You bring your perspective and ambition. We create an environment where your work meets\n                        clarity, confidence, and\n                        purpose.\n                    \u003C\u002Fp>\n                \u003C\u002Fdiv>\n\n                \u003Cdiv class=\"about-us__image\">\n                    \u003Cpicture>\n                        \u003Csource media=\"(min-width: 1025px)\" srcset=\"\u002Fimages\u002Fvacancy\u002Fdesctop-about.webp\" \u002F>\n                        \u003Csource media=\"(min-width: 769px)\" srcset=\"\u002Fimages\u002Fvacancy\u002Ftablet-about.webp\" \u002F>\n                        \u003Cimg src=\"\u002Fimages\u002Fvacancy\u002Fmobile-about.webp\" alt=\"About us\" loading=\"lazy\" \u002F>\n                    \u003C\u002Fpicture>\n                \u003C\u002Fdiv>\n            \u003C\u002Fdiv>\n        \u003C\u002Fdiv>\n\n        \u003Cdiv class=\"we-offer\">\n            \u003Ch2>We offer\u003C\u002Fh2>\n\n            \u003Cdiv class=\"we-offer__list\">\n\n                \u003Carticle class=\"offer-card offer-card--peach\">\n                    \u003Cspan class=\"offer-card__graphic offer-card__graphic--compensation\" aria-hidden=\"true\">\u003C\u002Fspan>\n\n                    \u003Cdiv class=\"offer-card__inner\">\n                        \u003Cdiv class=\"offer-card__title-wrap\">\n                            \u003Ch3 class=\"offer-card__title\">Flexible work model\u003C\u002Fh3>\n                        \u003C\u002Fdiv>\n\n                        \u003Cdiv class=\"offer-card__text-wrap\">\n                            \u003Cp class=\"offer-card__text\">\n                                Work from home, from the office, or in a hybrid format that supports focus and\n                                collaboration.\n                            \u003C\u002Fp>\n                        \u003C\u002Fdiv>\n\n                        \u003Cspan class=\"offer-card__icon\" aria-hidden=\"true\">\n                            \u003Cspan class=\"offer-card__icon-circle\">\u003C\u002Fspan>\n                            \u003Cspan class=\"offer-card__icon-line offer-card__icon-line--horizontal\">\u003C\u002Fspan>\n                            \u003Cspan class=\"offer-card__icon-line offer-card__icon-line--vertical\">\u003C\u002Fspan>\n                        \u003C\u002Fspan>\n                    \u003C\u002Fdiv>\n                \u003C\u002Farticle>\n\n                \u003Carticle class=\"offer-card offer-card--blue\">\n                    \u003Cspan class=\"offer-card__graphic offer-card__graphic--communities\" aria-hidden=\"true\">\u003C\u002Fspan>\n\n                    \u003Cdiv class=\"offer-card__inner\">\n                        \u003Cdiv class=\"offer-card__title-wrap\">\n                            \u003Ch3 class=\"offer-card__title\">Compensation & Benefits\u003C\u002Fh3>\n                        \u003C\u002Fdiv>\n\n                        \u003Cdiv class=\"offer-card__text-wrap\">\n                            \u003Cp class=\"offer-card__text\">Competitive, market-based pay, benchmarked by role and\n                                location — plus health coverage, paid time off, wellness support, and learning\n                                opportunities.\u003C\u002Fp>\n                        \u003C\u002Fdiv>\n\n                        \u003Cspan class=\"offer-card__icon\" aria-hidden=\"true\">\n                            \u003Cspan class=\"offer-card__icon-circle\">\u003C\u002Fspan>\n                            \u003Cspan class=\"offer-card__icon-line offer-card__icon-line--horizontal\">\u003C\u002Fspan>\n                            \u003Cspan class=\"offer-card__icon-line offer-card__icon-line--vertical\">\u003C\u002Fspan>\n                        \u003C\u002Fspan>\n                    \u003C\u002Fdiv>\n                \u003C\u002Farticle>\n\n                \u003Carticle class=\"offer-card offer-card--peach\">\n                    \u003Cspan class=\"offer-card__graphic offer-card__graphic--flexible\" aria-hidden=\"true\">\u003C\u002Fspan>\n\n                    \u003Cdiv class=\"offer-card__inner\">\n                        \u003Cdiv class=\"offer-card__title-wrap\">\n                            \u003Ch3 class=\"offer-card__title\">People-first Leadership\u003C\u002Fh3>\n                        \u003C\u002Fdiv>\n\n                        \u003Cdiv class=\"offer-card__text-wrap\">\n                            \u003Cp class=\"offer-card__text\">\n                                Approachable leaders who communicate openly, keep teams close to the strategy, and\n                                support long-term planning.\n                            \u003C\u002Fp>\n                        \u003C\u002Fdiv>\n\n                        \u003Cspan class=\"offer-card__icon\" aria-hidden=\"true\">\n                            \u003Cspan class=\"offer-card__icon-circle\">\u003C\u002Fspan>\n                            \u003Cspan class=\"offer-card__icon-line offer-card__icon-line--horizontal\">\u003C\u002Fspan>\n                            \u003Cspan class=\"offer-card__icon-line offer-card__icon-line--vertical\">\u003C\u002Fspan>\n                        \u003C\u002Fspan>\n                    \u003C\u002Fdiv>\n                \u003C\u002Farticle>\n\n                \u003Carticle class=\"offer-card offer-card--blue\">\n                    \u003Cspan class=\"offer-card__graphic offer-card__graphic--leadership\" aria-hidden=\"true\">\u003C\u002Fspan>\n\n                    \u003Cdiv class=\"offer-card__inner\">\n                        \u003Cdiv class=\"offer-card__title-wrap\">\n                            \u003Ch3 class=\"offer-card__title\">Advanced tech communities \u003C\u002Fh3>\n                        \u003C\u002Fdiv>\n\n                        \u003Cdiv class=\"offer-card__text-wrap\">\n                            \u003Cp class=\"offer-card__text\">Stay close to AI\u002FML, Cloud, Quantum Computing, IoT, and\n                                Robotics communities, with projects built on modern frameworks.\u003C\u002Fp>\n                        \u003C\u002Fdiv>\n\n                        \u003Cspan class=\"offer-card__icon\" aria-hidden=\"true\">\n                            \u003Cspan class=\"offer-card__icon-circle\">\u003C\u002Fspan>\n                            \u003Cspan class=\"offer-card__icon-line offer-card__icon-line--horizontal\">\u003C\u002Fspan>\n                            \u003Cspan class=\"offer-card__icon-line offer-card__icon-line--vertical\">\u003C\u002Fspan>\n                        \u003C\u002Fspan>\n                    \u003C\u002Fdiv>\n                \u003C\u002Farticle>\n            \u003C\u002Fdiv>\n        \u003C\u002Fdiv>\n    \u003C\u002Fsection>\n\u003C\u002Fdiv>",{"location":28,"workType":29,"direction":12,"techLevel":15,"techLevelId":14,"personalRecruiter":31,"subdirection":35},[17],[30],{"id":22,"name":23},{"fullName":32,"email":33,"profileImgPath":34},"Radek Kozlowski","rkozlo@softserveinc.com","https:\u002F\u002Fcareer.softserveinc.com\u002Fuploads\u002Frecruiter\u002F279751.jpg","Clouds & DevOps",{"title":37,"description":38,"canonical":39},"Middle DataOps Engineer (Databricks + AWS) in Poland – Work with SoftServe","Work as Middle DataOps Engineer (Databricks + AWS) in Poland. Join the IT global community. On freelance or full-time, remote or in the office. Apply for your dream job at SoftServe.","https:\u002F\u002Fcareer.softserveinc.com\u002Fvacancy\u002Fmiddle-dataops-engineer-databricks-aws-88723",{"@context":41,"@type":42,"title":7,"description":43,"datePosted":44,"applicantLocationRequirements":45,"jobLocationType":47,"employmentType":48,"hiringOrganization":49},"https:\u002F\u002Fschema.org\u002F","JobPosting","SoftServe is people-first. People who build a global IT company and make it grow. Together we advise, drive innovation, and develop people's talent within the USA, Latin America, Europe, and Asia.","2026-05-29T14:45:01+03:00",{"@type":46,"name":17},"Country","TELECOMMUTE","Full-time",{"@type":50,"name":51,"sameAs":52,"logo":53},"Organization","SoftServe","https:\u002F\u002Fcareer.softserveinc.com","https:\u002F\u002Fcareer.softserveinc.com\u002Fimages\u002F2017\u002Flogo_black.svg","https:\u002F\u002Fcareer.softserveinc.com\u002Fimages\u002F2017\u002Fvacancy\u002Fpeople.png","https:\u002F\u002Fcareer.softserveinc.com\u002Freferral\u002Fform\u002Fmiddle-dataops-engineer-databricks-aws-88723","https:\u002F\u002Fcareer.softserveinc.com\u002Fapi\u002Ffrontend\u002Fvacancies\u002Fmiddle-dataops-engineer-databricks-aws-88723\u002Fapply","https:\u002F\u002Fcareer.softserveinc.com\u002Femployee\u002Fauth\u002Furl",{"grandpromoter":25,"cumulativebonus":25,"newyearmode":25,"integration-jobfamilygroup":59,"integration-jobfamily":59,"integration-jobprofile":59,"integration-vacancy":25,"appversion":60,"vacancyLinkedinApply":59,"StaffingBoardReferralUpdateLog":25,"StaffingBoardStudentStatusLog":25,"moodleApiLog":59,"mulesoftCandidateContactLog":25,"mulesoftEmployeeLog":25,"FLOW_SSA_GROUP_START_DATE_RANGE":61,"ACTIVATE_LOG_ACTIVITY":59},"1","6.48.1","10",{"2":63,"4":64,"5":65,"6":66,"7":67,"8":68,"10":69,"11":70,"12":71,"13":72,"14":73},"Events","Newsletter","Job Sites","DOU","Friends & colleagues","Recruiter","Facebook","Instagram","LinkedIn","University","Other",5242880,"https:\u002F\u002Fcareer.softserveinc.com\u002Fuploads\u002FvacancyMeta\u002Fwe_care.png","6LeOrrkZAAAAAIbVWb6TOspTt2WE6FZ9byQAvSkz",{"api-key":78,"data-integration-context":79,"data-company-job-code":80},"77c1nnz563s57k","urn:li:organization:6549","242345466",{"ua":82,"en":83,"pl":84,"bg":85,"ro":86,"es":87},"uk-ua","en-us","pl","bg","ro","es"]