{"id":1222439,"url":"https://alion.io/job/pwc-data-engineer-technology-consulting","title":"Data engineer - Technology consulting","company":{"id":5739,"name":"PricewaterhouseCoopers","domain":"pwc.com","url":"https://alion.io/company/pwc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Prague, Czech Republic"],"countries":["CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":105000,"period":"year","method":null,"sample_n":2817},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Alteryx","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Tableau","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-28T06:04:37Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description & Summary\nAbout the team\nJoin a growing team of data engineers, architects, and analysts delivering modern data solutions for clients across banking, assurance, and other industries. We work with cloud-native technologies, modern data platforms, and large-scale data migration projects. You’ll gain hands-on experience while learning from experienced professionals. The environment is collaborative, supportive, and focused on continuous development.\nAbout your manager\nYou will work with experienced managers and technical leads who support professional growth through regular feedback, mentoring, and coaching. From day one, you will be encouraged to develop your technical expertise and take ownership of your learning journey. The team values curiosity, initiative, and teamwork.\nJob description & summary\nAre you passionate about data and eager to develop your skills in data engineering, cloud technologies, modern data platforms and data migration? Join our dynamic team and gain hands-on experience working on real-world data projects for a variety of clients.\nYou will:\nAssist in the design, development, and maintenance of data pipelines using Databricks, Snowflake, Microsoft Fabric, and cloud-native technologies.\nSupport the automation of data processes including extraction, transformation, validation, and loading of data.\nImplement integrations between databases, applications, APIs, and cloud platforms.\nWork with batch processing and, where required, real-time data integration.\nInvestigate technical issues and develop effective and sustainable solutions.\nPrepare technical documentation and contribute to continuous improvement initiatives.\nCollaborate with business analysts, data architects, developers, and testing teams.\nParticipate in projects for international and local clients.\nLearn how enterprise data solutions are designed, built, tested, and operated.\nDevelop towards senior data engineering and architecture career paths.\nWhat matters to us\nUniversity degree in Information Technology or a related field.\nStrong interest in software development and data engineering, with a logical and analytical approach to problem-solving.\nKnowledge of Python, Git, databases, and object-oriented programming concepts, combined with a strong willingness to learn.\nWhat will help you stand out\nExperience with data warehousing, data lakes, lakehouse architecture, data modelling, data quality, or master data management.\nHands-on experience with cloud platforms such as Azure, AWS, or GCP, Databricks, PySpark, Snowflake, Kafka, Airflow, BigQuery, or similar technologies.\nFamiliarity with CI/CD, Infrastructure as Code, DevOps, or automated testing.\nInterest in AI, LLMs, and AI agents, with experience using APIs, prompt engineering, or RAG.\nWhy you’ll enjoy working here\nProfessional growth that matches your ambitions and pace. Gain in months the kind of experience that can take years to build elsewhere.\nFair pay with no gaps. We are among the few companies in the Czech Republic certified for Equal Pay.\nA flexible benefits programme with 30,000 points to spend on what matters most to you.\n30 days of paid time off, including three well-being days and two additional days off at the end of the year.\nAn opportunity to give back to the community with one paid volunteering day every year.\nThe chance to work from one of PwC’s international offices (available from the Senior Associate level).\n We support your learning and development journey: Benefit from ongoing training and certifications in consulting, business, and technology skills, including Agile and project management, data analytics (Power BI, Python, Alteryx, Tableau), cloud and Microsoft technologies (Azure, Power Platform), business process analysis, and consulting essentials, such as stakeholder management, communication, and presentation skills.\nA buddy programme, regular feedback, and access to a coach who can support your professional development and career path.\nExtensive well-being support and initiatives promoting a healthy lifestyle, from Dr. Digital and Human Dynamic programmes to workplace yoga and running events.\nAn ultrabook and an iPhone with unlimited data.\nSocial events and Away Days.\nAt PwC, we help clients solve today’s and tomorrow’s challenges across audit, consulting, tax, legal, technology, and data. We create an environment where people can learn, grow, and build a career in their own way. We believe the best results come from diverse experiences and perspectives. That’s why we foster an inclusive culture where everyone can be themselves, build on their strengths, and contribute to work that makes a real impact.\nInterested in joining us? We’d love to hear from you and tell you more about this opportunity.\nOchrana osobních údajů pro žadatele o zaměstnání / Privacy Statement for Recruitment Applicants","description_format":"text","description_chars":4852,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-09-25T12:30:54Z"}],"liveness":{"score":72,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.723,"p_room":1,"age_days":4,"expected_fill_days":13,"reasons":["conf:5","velocity","win:early","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pwc-data-engineer-technology-consulting","json_url":"https://alion.io/job/pwc-data-engineer-technology-consulting.json","meta":{"generated_at":"2026-09-28T06:28:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4513,"day_limit":5000,"remaining_today":487,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}