{"id":1222270,"url":"https://alion.io/job/pwc-lead-data-engineer-technology-consulting","title":"Lead 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":"lead","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","Ostrava, Czech Republic","Brno, Czech Republic"],"countries":["CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":118000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":328},"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":"Bicep","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","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":"Terraform","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-25T12:31:18Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-28T00:28:56Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description & Summary\nAbout the team\nJoin our Data Management team within Technology Consulting, where we design, build, and deliver enterprise-grade data solutions for clients in the Czech Republic and abroad. You’ll work on complex projects for organizations including large banks and insurance companies. You’ll collaborate with data engineers, architects, analysts, and business stakeholders to turn complex requirements into scalable cloud data solutions.\nAbout your managers\nTomáš Karas is a Director who leads the whole Data Management team in Technology Consulting. Combining the roles of Data Architect and Delivery data lead, he helps clients build large-scale data platforms and transform data using modern data & AI technologies into business value. His teams deliver solutions that automate complex processes and save clients thousands of hours of operational effort using a combination of data & AI platforms. Outside of work, you'll likely meet him with a team at some place that involves music either on dance floor or behind the mic on karaoke. At home he spends time with family of 4 kids and their famous guinea pig farm.\nDavid Tomandl is a Senior Manager who leads the Data Engineering team within Data Management in Technology Consulting. Combining the roles of Cloud Data Platform Architect and Delivery Manager, he helps clients build, modernize, and migrate modern data platforms, deliver data migrations in core system replacements, and transform data into tangible business value. David has delivered complex Data & AI projects across Europe and Canada. Outside of work, he is passionate about fishing for zander and staying active through sports.\nJob description & summary\nAre you an experienced data engineering professional ready to lead a team, own architectural decisions, and drive the technical direction of complex data projects? Join our team as a Lead Data Engineer and take ownership of designing, building, and delivering enterprise-grade data solutions.\nAs a Lead Data Engineer, you will lead a team of data engineers, working closely with architects, analysts, and business stakeholders. You will own the technical design of data solutions, ensure best practices in cloud engineering and automation, and mentor team members to help them grow. You will also act as a key technical point of contact for clients, translating complex requirements into robust, well-architected solutions.\nYou will:\nDesign and own the architecture of data pipelines and platforms using tools such as Databricks, Snowflake, MS Fabric, and cloud-native technologies (Azure, AWS, GCP).\nLead the technical delivery of data engineering projects, ensuring solutions are scalable, secure, and maintainable.\nDefine and enforce engineering best practices and coding standards, and drive the adoption of CI/CD and Infrastructure as Code.\nGuide the design of data integrations between databases, applications, APIs, and cloud platforms, including batch and real-time integration.\nMentor team members, conduct code reviews, and support their technical growth.\nAct as the primary technical point of contact for clients, leading technical workshops and presenting architectural decisions.\nGrow your career toward the Cloud Data Platform Architect role.\nWhat matters to us\nProven experience leading data engineering teams or projects, with strong technical and people leadership skills.\nDeep hands-on experience with Python, GIT, databases, and software engineering best practices, including OOP, testing, and design patterns.\nStrong track record delivering projects using Databricks, Snowflake, or MS Fabric and cloud technologies such as Azure, AWS, or GCP.\nCloud certification, for example Azure Solutions Architect, AWS Certified Solutions Architect, or GCP Professional Data Engineer.\nHands-on experience with CI/CD and Infrastructure as Code, such as Terraform, Bicep, or CloudFormation.\nExcellent communication skills, with the ability to lead technical workshops and present to senior stakeholders.\nWhat will help you stand out\nDeep expertise in data warehousing, data lakes, Lakehouse architecture, operational data stores, or data modeling.\nMultiple cloud certifications or expertise across more than one cloud platform (Azure, AWS, GCP).\nExperience designing CI/CD pipelines and IaC frameworks at scale.\nBroad technical experience with tools such as PySpark, Kafka, Airflow, or BigQuery.\nExperience with enterprise-grade batch and real-time integration architectures.\nExperience with AI, LLMs, or AI agents in data engineering workflows, for example RAG or prompt engineering.\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 55,000 points to spend on what matters most to you.\n35 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).\nWe 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":6667,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"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":"2026-09-25T12:31:18Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":19,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pwc-lead-data-engineer-technology-consulting","json_url":"https://alion.io/job/pwc-lead-data-engineer-technology-consulting.json","meta":{"generated_at":"2026-09-28T02:47:56Z","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":1575,"day_limit":5000,"remaining_today":3425,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}