{"id":4218910,"url":"https://alion.io/job/hrk-data-techlead-technical-project-manager","title":"Data TechLead / Technical Project Manager","company":{"id":2863741,"name":"HRK","domain":"hrk.pl","url":"https://alion.io/company/hrk-pl","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Traffit","truth_index":null},"role":"Product","role_family":"Product","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Ansible","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Hadoop","optional":false},{"name":"Jenkins","optional":false},{"name":"Linux","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false},{"name":"Agile","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Java","optional":true},{"name":"Kanban","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-05-06T10:32:45Z","employer_posted_date":"2026-05-06","last_verified_at":"2026-11-13T03:54:24Z","board_verified":true,"closed_at":null,"days_open":190,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":190},"description":"You are welcome to submit your resume by clicking APPLY. We will be happy to answer questions and talk to you about this project.\nData TechLead / Technical Project Manager (F/M/D)\nResponsibilities\nTo be successful in this role, you should meet the following requirements:\n- Pyspark or Scala development and design.\n- Hands-on experience with GCP.\n- Comfortable presenting to Business non-technical and senior technical audiences.\n- Interested in overseeing and guiding the work of other engineers as an engineering manager.\n- Comfortable working autonomously as the lead of the engineering pod.\n- Experience using scheduling tools such as Airflow.\n- Experience with most of the following technologies (Apache Hadoop, Pyspark, Apache Spark, YARN, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTful services).\n- Sound knowledge on working Unix/Linux Platform\n- Hands-on experience building data pipelines in GCP and preferably Hadoop too - Hive, Spark, Spark SQL.\n- Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.\n- Experience on debugging code issues and then publishing the highlighted differences to the development team.\n- Understanding or experience of Cloud design patterns.\n- An eye for AI enablers to accelerate traditional workflows.\n- Strong verbal and written English skills\nThe successful candidate will also meet the following requirements: (Good to have Requirements)\n- Experience with Elastic search.\n- Experience developing in Java APIs.\n- Experience doing ingestions.\n- Exposure to DevOps & Agile Project methodology such as Scrum and Kanban.\nRequirements\nAs a key driving member of the technical team alongside Engineers, Data Analysts and Business analysts, you will be expected to define and contribute at a high-level to many aspects of our collaborative Agile development process:\n- Total 10+ years’ experience with software design, GCP and Pyspark development, automated testing of new and existing components in an Agile, DevOps and dynamic environment.\n- Guidance on best practice environment set up. Input into system architecture and design.\n- Promoting development standards, code reviews, mentoring, knowledge sharing\n- Production support & troubleshooting.\n- Implement the tools and processes, handling performance, scale, availability, accuracy and monitoring.\n- Liaison with BAs to ensure that requirements are correctly interpreted and implemented.\n- Participation in regular planning and status meetings. 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